🔥 Post Graduate Program In Full Stack Web Development: https://www.simplilearn.com/pgp-full-stack-web-development-certification-training-course?utm_campaign=4April2023DataStructureFullCourse2023&utm_medium=DescriptionFF&utm_source=youtube
🔥 Caltech Coding Bootcamp (US Only): https://www.simplilearn.com/coding-bootcamp?utm_campaign=4April2023DataStructureFullCourse2023&utm_medium=DescriptionFF&utm_source=youtube

Simplilearn's "Data Structure Full Course 2023" video will include the "Data Structures Complete Course Using C and C++." We will cover every topic of data structure, from the basics to the advanced level. Common data structures include arrays, linked lists, stacks, queues, trees, and graphs. Each of these data structures has pros and cons, and choosing the best one for your problem can enhance the performance and maintainability of your code dramatically.

✅01:54 What is a data structure?
✅07:56-What is an algorithm?
✅19:33-Pointers in data structure
✅28:23-Structure in data structure
✅35:09-Array in data structure
✅53:28-2D arrays
✅1:10:28-Linked list in data structure
✅1:51:13-Doubly linked list explained
✅2:04:44-Introduction to a circular linked list
✅2:18:03-Arrays vs linked list
✅2:23:48-Stacks in data structure
✅2:38:07-Stack implementation using an array
✅2:40:18-Stack implementation using a linked list
✅2:45:39-A complete guide to queue in data structure
✅5:19:48-Stack vs Queue
✅5:30:09-Tress in data structure
✅5:41:50-Binary tree in data structure
✅5:46:48-Tree traversal in data structure
✅5:58:30-Binary search tree in data structure
✅6:34:26-AVL tree in data structure

🔥Enroll for Free Courses by Simplilearn: https://www.simplilearn.com/learn-hadoop-spark-basics-skillup?utm_campaign=4April2023DataStructureFullCourse2023&utm_medium=Description&utm_source=youtube

✅Subscribe to our Channel to learn more about the top Technologies: https://bit.ly/2VT4WtH

⏩ Check out the Big Data training videos: https://youtube.com/playlist?l....ist=PLEiEAq2VkUUJqp1

#DataStructureFullCourse #DataStructureFullCourse2023 #DataStructures #DataStructure #DSA #Course #Simplilearn

What is data structure?
The data structure aims to store the elements in a way that allows it to perform a specified activity. It requires the least amount of memory capacity, allows for faster execution, and aids in data organization to improve accessibility. Data structures are the most convenient way to handle, retrieve, store, and organize data.

What is an Algorithm?
The algorithm is a step-by-step procedure or set of instructions to be followed to perform certain tasks.

What is a pointer?
A pointer is a variable that holds the address of another variable to be executed which can be of data type int, char, array, etc…

What is an Array?
An array is a homogenous collection of elements of the same data type; That means similar types of elements are stored under one name called an array name. And also the array of elements, stored in a consecutive block of memory.

What is a linked list?
A linked List is a linear data structure consisting of nodes. Each node in a linked list is divided into two sections that hold data and the address of the successive node, stored at the random address in the memory.

✅ About Post Graduate Program In Full Stack Web Development

This program will give you the foundation for building full stack web apps using the Java programming language. You'll begin with the basics of JavaScript, and then venture into some of the more advanced concepts like Angular, Spring Boot, Hibernate, JSPs, and MVC. Now is a perfect time to get started on your career as a full stack web developer!

✅ Skills covered

-Agile
-JAVA
-Hibernate and JPA
-Spring Core 50
-DevOps
-HTML5 and CSS3
-AWS
-JavaScript ES6
-ServletsSOAP and REST
-JSP

✅ Tools covered

-Angular
-CSS3
-Docker
-GIT
-html 5
-Jenkins
-Junit 5
-Maven
-mongodb
-MySQL
-RabbitMQ
-Selenium
-TypeScript

✅ Eligibility Criteria

-A bachelor's degree with an average of 50% or higher marks
-Basic programming knowledge
-Having 2+ years of work experience is preferred

👉Learn more at: https://www.simplilearn.com/pgp-full-stack-web-development-certification-training-course?utm_campaign=4April2023DataStructureFullCourse2023&utm_medium=Description&utm_source=youtube

🔥🔥 Interested in Attending Live Classes? Call Us: IN - 1800-212-7688 / US - +1-844-532-7688

👉 Listen to what millions of users say about our courses! https://www.simplilearn.com/reviews?utm_campaign=4April2023DataStructureFullCourse2023&utm_medium=Description&utm_source=youtube

For more information about Simplilearn courses, visit:
- Facebook: https://www.facebook.com/Simplilearn
- Twitter: https://twitter.com/simplilearn
- LinkedIn: https://www.linkedin.com/company/simplilearn/
- Telegram Mobile: https://t.me/simplilearnupdates

Get the Simplilearn app: https://simpli.app.link/OlbFAhqMqgb

OpenAI has finally released the most anticipated ChatGPT model today, called "gpt-3.5-turbo". Unlike the GPT 3.0 models that work like a search engine, ChatGPT model tracks the conversation to create more useful outputs. In this tutorial, I will go through every single detail on how to get started with the newest OpenAI ChatGPT API in Python.

📑 Python Script Used In The Video: https://wp.me/payCAw-1lw

💻 Build Your Own ChatGPT Desktop App: https://youtu.be/snkys9zXyD0

✉ Signup for an OpenAI account: https://openai.com/

📑 OpenAI GPT Model Pricing: https://openai.com/pricing

📑 openai.ChatCompletion reference: https://platform.openai.com/docs/guides/chat

📑 OpenAI ChatGPT Model (gpt3.5 turbo) Info : https://platform.openai.com/docs/models/gpt-3-5

► Buy Me a Coffee? Your support is much appreciated!
-------------------------------------------------------------------------------------------
☕ Paypal: https://www.paypal.me/jiejenn/5
☕ Venmo: @Jie-Jenn
💸 Join Robinhood with my link and we'll both get a free stock: https://bit.ly/3iWr7LC

► Support my channel so I can continue making free contents
---------------------------------------------------------------------------------------------------------------
🛒 By shopping on Amazon → https://amzn.to/2JkGeMD
👩‍💻 Follow me on Linked: https://www.linkedin.com/in/jiejenn/
🌳 Becoming a Patreon supporter: https://www.patreon.com/JieJenn
✉️ Business Inquiring: [email protected]

00:00 - Intro to OpenAI gpt 3.5 turbo model
00:34 - OpenAI GPT-3.5 Pricing difference vs GPT-3.0
01:51 - OpenAI GPT 3.5 models summary
03:03 - Sign up for an OpenAI account
03:29 - Create an OpenAI API Key
03:47 - Create Python script
04:15 - Install OpenAI Python package
04:27 - open.ChatCompletion library usage
11:00 - Track ChatGPT conversation
15:03 - Make the Python script runs like ChatGPT

#chatgpt #chatgptapi #openai #ai #python #gpt

Welcome to Micromouse, the fastest maze-solving competition on Earth. Join Onshape’s community of over 3 million CAD users by creating a free account here: https://Onshape.pro/Veritasium.

▀▀▀
A huge thank you to Peter Harrison for all of his help introducing us to the world of Micromouse – check out https://ukmars.org & https://micromouseonline.com.
Thank you to David Otten, APEC, and the All-Japan Micromouse Competition for having us.
Thank you to Juing-Hei (https://www.youtube.com/@suhu9379) & Derek Hall (https://www.youtube.com/@MicroMouse) for usage of their micromouse videos.
Thank you to John McBride, Yusaku Kanagawa, and Katie Barnshaw for their help with Japanese translations.

▀▀▀
References:
Claude Shannon Demonstrates Machine Learning, AT&T Tech Channel Archive - https://ve42.co/ClaudeShannon
Mighty mouse, MIT News Magazine - https://ve42.co/MightyMouse
History, Micromouse Online Blog - https://ve42.co/MMHistory
Christiansen, D. (1977). Spectral lines: Announcing the Amazing Micro-Mouse Maze Contest. IEEE Spectrum, vol. 14, no. 5, pp. 27-27 - https://ve42.co/Christiansen1977
Allan, R. (1979). Microprocessors: The amazing micromice: See how they won: Probing the innards of the smartest and fastest entries in the Amazing Micro-Mouse Maze Contest. IEEE Spectrum, vol. 16, no. 9, pp. 62-65, - https://ve42.co/Allan1979
1977-79 – “MOONLIGHT SPECIAL” Battelle Inst. (American), CyberNetic Zoo - https://ve42.co/MoonlightSpecial
Christiansen, D. (2014). The Amazing MicroMouse Roars On. Spectral Lines - https://ve42.co/Christiansen2014
1986 - MicroMouse history, competition & how it got started in the USA, via YouTube - https://ve42.co/MMArchiveYT
The first World Micromouse Contest in Tsubuka, Japan, August 1985 [1/2] by TKsTclip via YouTube - https://ve42.co/MMTsukubaYT
IEEE. (2018). Micromouse Competition Rules - https://ve42.co/IEEERules
Tondra, D. (2004). The Inception of Chedda: A detailed design and analysis of micromouse. University of Nevada - https://ve42.co/Tondra2004
Braunl, T. (1999). Research relevance of mobile robot competitions. IEEE Robotics & Automation Magazine, vol. 6, no. 4, pp. 32-37 - https://ve42.co/Braunl1999
All Japan Micromouse 2017 by Peter Harrison, Micromouse Online - https://ve42.co/RedComet
Winning record of the national competition micromouse (half size) competition. mm3sakusya @ wiki (Google translated from Japanese) - https://ve42.co/JapanFinishTimes
The Fosbury Flop—A Game-Changing Technique, Smithsonian Magazine - https://ve42.co/FosburyFlop
Gold medal winning heights in the Men's and Women's high jump at the Summer Olympics from 1896 to 2020, Statistica - https://ve42.co/HighJump
Zhang, H., Wang, Y., Wang, Y., & Soon, P. L. (2016). Design and realization of two-wheel micro-mouse diagonal dashing. Journal of Intelligent & Fuzzy Systems, 31(4), 2299-2306. - https://ve42.co/Zhang2016
Micromouse Turn List, Keri’s Lab - https://ve42.co/MMTurns
Green Ye via YouTube - https://ve42.co/Greenye
Classic Micromouse, Excel 9a. Demonstrate fan suction, by TzongYong Khiew via YouTube - https://ve42.co/MMFanYT
Vacuum Micromouse by Eliot, HACKADAY - https://ve42.co/MMVacuum

▀▀▀
Special thanks to our Patreon supporters:
Emil Abu Milad, Tj Steyn, meg noah, Bernard McGee, KeyWestr, Amadeo Bee, TTST, Balkrishna Heroor, John H. Austin, Jr., john kiehl, Anton Ragin, Diffbot, Gnare, Dave Kircher, Burt Humburg, Blake Byers, Evgeny Skvortsov, Meekay, Bill Linder, Paul Peijzel, Josh Hibschman, Mac Malkawi, Juan Benet, Ubiquity Ventures, Richard Sundvall, Lee Redden, Stephen Wilcox, Marinus Kuivenhoven, Michael Krugman, Sam Lutfi.

▀▀▀
Written by Tom Lum and Emily Zhang
Edited by Trenton Oliver
Animated by Ivy Tello
Coordinated by Emily Zhang
Filmed by Yusaku Kanagawa, Emily Zhang, and Derek Muller
Additional video/photos supplied by Getty Images and Pond5
Music from Epidemic Sound
Thumbnail by Ren Hurley and Ignat Berbeci
References by Katie Barnshaw
Produced by Derek Muller, Petr Lebedev, and Emily Zhang

The world's strongest magnet is a million times stronger than Earth's magnetic field. Learn more about sustainability and Google’s efforts at sustainability.google. Part of this video was sponsored by Google.

Trends insights for the past year are based on Google Trends data from 2/10/2022 - 2/10/2023, U.S.

▀▀▀
Thanks to the entire NHMFL team - especially Tim, Stephen, Caroline, Kristin, Sam, Lance, and everyone who helped with the demos - for the great visit.
The NHMFL is funded by the National Science Foundation and the State of Florida.

Special thanks to Henry from Minutephysics for lending his magnet animations from our magnet collaboration: https://youtu.be/hFAOXdXZ5TM

▀▀▀
References:
Liu, Y., Zhu, D. M., Strayer, D. M., & Israelsson, U. E. (2010). Magnetic levitation of large water droplets and mice. Advances in Space Research, 45(1), 208-213.

Simon, M. D., & Geim, A. K. (2000). Diamagnetic levitation: Flying frogs and floating magnets. Journal of applied physics, 87(9), 6200-6204.

Berry, M. V., & Geim, A. K. (1997). Of flying frogs and levitrons. European Journal of Physics, 18(4), 307.

▀▀▀
Special thanks to our Patreon supporters:
Tj Steyn, Meg Noah, Bernard McGee, James Sanger, Elliot Miller, Jerome Barakos M.D., Amadeo Bee, TTST, Balkrishna Heroor, Chris LaClair, John H. Austin Jr., Eric Sexton, John Kiehl, Anton Ragin, Diffbot, Gnare, Dave Kircher, Burt Humburg, Blake Byers, Evgeny Skvortsov, Meekay, Bill Linder, Paul Peijzel, Josh Hibschman, Mac Malkawi, Juan Benet, Sunil Nagaraj, Richard Sundvall, Lee Redden, Stephen Wilcox, Marinus Kuivenhoven, Michael Krugman, Cy 'kkm' K'Nelson, Sam Lutfi

▀▀▀
Written by Derek Muller
Edited and Motion Graphics by Trenton Oliver
Coordinated by Emily Zhang and Derek Muller
Filmed by Derek Muller, Trenton Oliver, Raquel Nuno and Emily Zhang
Additional video/photos supplied by Pond5 & Getty Images
Music from Epidemic Sound
Thumbnail by Ignat Berbeci
Produced by Derek Muller, Petr Lebedev, and Emily Zhang

Large Language Models like ChatGPT have remarkable abilities to generate content based on training data but do they have actual intelligence? Find out more about how LLM's and Chatbots work as we explore this question.

Featuring:
Mira Murati the CTO of OpenAI
Cristóbal Valenzuela the creator of Runway

Presented by: Code.org, ETS, ISTE, Khan Academy

Start learning today!
https://code.org/ai/how-ai-works

Stay in touch with us on social media:
• Twitter: https://twitter.com/codeorg
• Facebook: https://www.facebook.com/Code.org
• Instagram: https://instagram.com/codeorg
• TikTok: https://tiktok.com/@code.org
• LinkedIn: https://www.linkedin.com/company/code-org
• Medium: https://medium.com/@codeorg

Help make our work possible with a donation at http://code.org/donate!

🔴 𝐋𝐞𝐚𝐫𝐧 𝐓𝐫𝐞𝐧𝐝𝐢𝐧𝐠 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 𝐅𝐨𝐫 𝐅𝐫𝐞𝐞! 𝐒𝐮𝐛𝐬𝐜𝐫𝐢𝐛𝐞 𝐭𝐨 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐘𝐨𝐮𝐓𝐮𝐛𝐞 𝐂𝐡𝐚𝐧𝐧𝐞𝐥: https://edrk.in/DKQQ4Py
🔥 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐞𝐝 𝐄𝐭𝐡𝐢𝐜𝐚𝐥 𝐇𝐚𝐜𝐤𝐞𝐫 (𝐂𝐄𝐇 𝐯𝟏𝟐) 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧: https://www.edureka.co/ceh-eth....ical-hacking-certifi
Explore our Ethical Hacker Full Course and discover the techniques, tools, and strategies employed by ethical hackers to safeguard systems and networks from malicious attacks. From foundational concepts to advanced techniques, In this Ethical Hacking Course, you'll learn how to defend against cyber threats effectively. Whether you're a beginner or an experienced professional looking to enhance your cybersecurity skills, join us on this Ethical Hacking Full Course journey to become a certified ethical hacker and protect against cyber threats.

📢📢 𝐓𝐨𝐩 𝟏𝟎 𝐓𝐫𝐞𝐧𝐝𝐢𝐧𝐠 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 𝐭𝐨 𝐋𝐞𝐚𝐫𝐧 𝐢𝐧 𝟐𝟎𝟐𝟒 𝐒𝐞𝐫𝐢𝐞𝐬 📢📢
⏩ NEW Top 10 Technologies To Learn In 2024 - https://www.youtube.com/watch?v=vaLXPv0ewHU

🔴 Subscribe to our channel to get video updates. Hit the subscribe button above: https://goo.gl/6ohpTV

🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬

🔵 DevOps Online Training: http://bit.ly/3VkBRUT
🌕 AWS Online Training: http://bit.ly/3ADYwDY
🔵 React Online Training: http://bit.ly/3Vc4yDw
🌕 Tableau Online Training: http://bit.ly/3guTe6J
🔵 Power BI Online Training: http://bit.ly/3VntjMY
🌕 Selenium Online Training: http://bit.ly/3EVDtis
🔵 PMP Online Training: http://bit.ly/3XugO44
🌕 Salesforce Online Training: http://bit.ly/3OsAXDH
🔵 Cybersecurity Online Training: http://bit.ly/3tXgw8t
🌕 Java Online Training: http://bit.ly/3tRxghg
🔵 Big Data Online Training: http://bit.ly/3EvUqP5
🌕 RPA Online Training: http://bit.ly/3GFHKYB
🔵 Python Online Training: http://bit.ly/3Oubt8M
🔵 GCP Online Training: http://bit.ly/3VkCzS3
🌕 Microservices Online Training: http://bit.ly/3gxYqqv
🔵 Data Science Online Training: http://bit.ly/3V3nLrc
🌕 CEHv12 Online Training: http://bit.ly/3Vhq8Hj
🔵 Angular Online Training: http://bit.ly/3EYcCTe

🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐑𝐨𝐥𝐞-𝐁𝐚𝐬𝐞𝐝 𝐂𝐨𝐮𝐫𝐬𝐞𝐬

🔵 DevOps Engineer Masters Program: http://bit.ly/3Oud9PC
🌕 Cloud Architect Masters Program: http://bit.ly/3OvueZy
🔵 Data Scientist Masters Program: http://bit.ly/3tUAOiT
🌕 Big Data Architect Masters Program: http://bit.ly/3tTWT0V
🔵 Machine Learning Engineer Masters Program: http://bit.ly/3AEq4c4
🌕 Business Intelligence Masters Program: http://bit.ly/3UZPqJz
🔵 Python Developer Masters Program: http://bit.ly/3EV6kDv
🌕 RPA Developer Masters Program: http://bit.ly/3OteYfP
🔵 Web Development Masters Program: http://bit.ly/3U9R5va
🌕 Computer Science Bootcamp Program: http://bit.ly/3UZxPBy
🔵 Cyber Security Masters Program: http://bit.ly/3U25rNR
🌕 Full Stack Developer Masters Program: http://bit.ly/3tWCE2S
🔵 Automation Testing Engineer Masters Program: http://bit.ly/3AGXg2J
🌕 Python Developer Masters Program: https://bit.ly/3EV6kDv
🔵 Azure Cloud Engineer Masters Program: http://bit.ly/3AEBHzH

🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐔𝐧𝐢𝐯𝐞𝐫𝐬𝐢𝐭𝐲 𝐏𝐫𝐨𝐠𝐫𝐚𝐦𝐬

🔵 Post Graduate Program in DevOps with Purdue University: https://bit.ly/3Ov52lT

🌕 Advanced Certificate Program in Data Science with E&ICT Academy, IIT Guwahati: http://bit.ly/3V7ffrh

🔵 Advanced Certificate Program in Cloud Computing with E&ICT Academy, IIT Guwahati: https://bit.ly/43vmME8

🌕Advanced Certificate Program in Cybersecurity with E&ICT Academy, IIT Guwahati: https://bit.ly/3Pd2utG


📌𝐓𝐞𝐥𝐞𝐠𝐫𝐚𝐦: https://t.me/edurekaupdates
📌𝐓𝐰𝐢𝐭𝐭𝐞𝐫: https://twitter.com/edurekain
📌𝐋𝐢𝐧𝐤𝐞𝐝𝐈𝐧: https://www.linkedin.com/company/edureka
📌𝐈𝐧𝐬𝐭𝐚𝐠𝐫𝐚𝐦: https://www.instagram.com/edureka_learning/
📌𝐅𝐚𝐜𝐞𝐛𝐨𝐨𝐤: https://www.facebook.com/edurekaIN/
📌𝐒𝐥𝐢𝐝𝐞𝐒𝐡𝐚𝐫𝐞: https://www.slideshare.net/EdurekaIN
📌𝐂𝐚𝐬𝐭𝐛𝐨𝐱: https://castbox.fm/networks/505?country=IN
📌𝐌𝐞𝐞𝐭𝐮𝐩: https://www.meetup.com/edureka/
📌𝐂𝐨𝐦𝐦𝐮𝐧𝐢𝐭𝐲: https://www.edureka.co/community/


Please write back to us at [email protected] or call us at IND: 9606058406 / US: +18338555775 (toll-free) for more information.

Dive into the world of Language Model as I guide you through the process of training a small language model using GPT-2! In this tutorial, we'll explore how to leverage the powerful distilgpt2 transformer to understand diseases and symptoms better.

📋 Tutorial Highlights:

Dataset Loading: Learn how to load a relevant dataset on diseases and symptoms from Hugging Face datasets.
Tokenization and Model Setup: Understand the crucial steps of tokenization using GPT-2's tokenizer and initializing the language model.
Training Loop: Walk through the training loop, exploring each epoch, monitoring training and validation losses, and ensuring your model is learning effectively.
Hyperparameter Tuning: Fine-tune your model by adjusting batch sizes, learning rates, and more.
Text Generation: Witness the power of your trained model by generating meaningful text based on input strings.

🤖 Why Train a domain specific Language Model like MedLLM?
Training a language model allows you to teach your model about the relationships between diseases and symptoms, enabling it to generate informative and context-aware responses.

🔔 Don't forget to like, comment, and subscribe for more exciting tutorials on Gen AI and machine learning! Your support keeps the channel thriving.

Join this channel to get access to perks:
https://www.youtube.com/channe....l/UC-zVytOQB62OwMhKR

📁 Download Code: https://github.com/AIAnytime/T....raining-Small-Langua
📚 Resources:
Hugging Face Model: https://huggingface.co/distilgpt2
Dataset Source: https://huggingface.co/dataset....s/QuyenAnhDE/Disease

#generativeai #llm #ai

Host your n8n agents on Hostinger: https://www.hostinger.com/david
Use code David ;)

Learn about the best AI Business models here - https://www.youtube.com/watch?v=Ta5g-OxjPO4

Wanna learn how to code with AI? Go here: https://www.skool.com/new-society

Follow me on Instagram - https://www.instagram.com/davidondrej1/
Follow me on Twitter - https://x.com/DavidOndrej1

Subscribe if you're serious about AI.

This is the ultimate guide about AI Agents.

www.vectal.ai

Boris Cherny is the creator and head of Claude Code at Anthropic. What began as a simple terminal-based prototype just a year ago has transformed the role of software engineering and is increasingly transforming all professional work.

*We discuss:*
1. How Claude Code grew from a quick hack to 4% of public GitHub commits, with daily active users doubling last month
2. The counterintuitive product principles that drove Claude Code’s success
3. Why Boris believes coding is “solved”
4. The latent demand that shaped Claude Code and Cowork
5. Practical tips for getting the most out of Claude Code and Cowork
6. How underfunding teams and giving them unlimited tokens leads to better AI products
7. Why Boris briefly left Anthropic for Cursor, then returned after just two weeks
8. Three principles Boris shares with every new team member

*Brought to you by:*
DX—The developer intelligence platform designed by leading researchers: https://getdx.com/lenny
Sentry—Code breaks, fix it faster: https://sentry.io/lenny
Metaview—The AI platform for recruiting: https://metaview.ai/lenny

*Episode transcript:* https://www.lennysnewsletter.c....om/p/head-of-claude-

*Archive of all Lenny's Podcast transcripts:*
https://www.dropbox.com/scl/fo/yxi4s2w998p1gvtpu4193/AMdNPR8AOw0lMklwtnC0TrQ?rlkey=j06x0nipoti519e0xgm23zsn9&st=ahz0fj11&dl=0

*Where to find Boris Cherny:*
• X: https://x.com/bcherny
• LinkedIn: https://www.linkedin.com/in/bcherny
• Website: https://borischerny.com

*Where to find Lenny:*
• Newsletter: https://www.lennysnewsletter.com
• X: https://twitter.com/lennysan
• LinkedIn: https://www.linkedin.com/in/lennyrachitsky/

*In this episode, we cover:*
(00:00) Introduction to Boris and Claude Code
(03:45) Why Boris briefly left Anthropic for Cursor (and what brought him back)
(05:35) One year of Claude Code
(08:41) The origin story of Claude Code
(13:29) How fast AI is transforming software development
(15:01) The importance of experimentation in AI innovation
(16:17) Boris’s current coding workflow (100% AI-written)
(17:32) The next frontier
(22:24) The downside of rapid innovation
(24:02) Principles for the Claude Code team
(26:48) Why you should give engineers unlimited tokens
(27:55) Will coding skills still matter in the future?
(32:15) The printing press analogy for AI’s impact
(36:01) Which roles will AI transform next?
(40:41) Tips for succeeding in the AI era
(44:37) Poll: Which roles are enjoying their jobs more with AI
(46:32) The principle of latent demand in product development
(51:53) How Cowork was built in just 10 days
(54:04) The three layers of AI safety at Anthropic
(59:35) Anxiety when AI agents aren’t working
(01:02:25) Boris’s Ukrainian roots
(01:03:21) Advice for building AI products
(01:08:38) Pro tips for using Claude Code effectively
(01:11:16) Thoughts on Codex
(01:12:13) Boris’s post-AGI plans
(01:14:02) Lightning round and final thoughts

*Referenced:*
• Cursor: https://cursor.com
• The rise of Cursor: The $300M ARR AI tool that engineers can’t stop using | Michael Truell (co-founder and CEO): https://www.lennysnewsletter.com/p/the-rise-of-cursor-michael-truell
• Anthropic: https://www.anthropic.com
• Anthropic’s CPO on what comes next | Mike Krieger (co-founder of Instagram): https://www.lennysnewsletter.com/p/anthropics-cpo-heres-what-comes-next
• Claude Code Is the Inflection Point: https://newsletter.semianalysi....s.com/p/claude-code-
• Spotify says its best developers haven’t written a line of code since December, thanks to AI: https://techcrunch.com/2026/02..../12/spotify-says-its
• Anthropic co-founder on quitting OpenAI, AGI predictions, $100M talent wars, 20% unemployment, and the nightmare scenarios keeping him up at night | Ben Mann: https://www.lennysnewsletter.com/p/anthropic-co-founder-benjamin-mann
• Haiku: https://www.anthropic.com/claude/haiku
• Sonnet: https://www.anthropic.com/claude/sonnet
• Opus: https://www.anthropic.com/claude/opus
• Jenny Wen on X: https://x.com/jenny_wen
• Johannes Gutenberg: https://en.wikipedia.org/wiki/Johannes_Gutenberg
• Anthropic jobs: https://www.anthropic.com/careers/jobs
• Lenny’s AI poll post on X: https://x.com/lennysan/status/2020266745722991051
• Fiona Fung on LinkedIn: https://www.linkedin.com/in/fionafung
• Brandon Kurkela on LinkedIn: https://www.linkedin.com/in/bkurkela
• Cowork: https://www.anthropic.com/webinars/future-of-ai-at-work-introducing-cowork
• Chris Olah on X: https://x.com/ch402
• The Bitter Lesson: http://www.incompleteideas.net..../IncIdeas/BitterLess
...References continued at: https://www.lennysnewsletter.c....om/p/head-of-claude-

_Production and marketing by https://penname.co/._
_For inquiries about sponsoring the podcast, email [email protected]._

Lenny may be an investor in the companies discussed.

🔥Post Graduate Program in Data Analytics: https://www.simplilearn.com/pgp-data-analytics-certification-training-course?utm_campaign=DataAnalytics-OOWAk2aLEfk&utm_medium=DescriptionFirstFold&utm_source=youtube
This Excel Data Analytics Full Course video will help you understand the various crucial functions available in Excel, such as lookup, H lookup, sumif/s, counif/s, if error, and others. Finally, you will see how to use the Data Analysis Toolpak to perform various data analysis operations. So, let's begin.

00:00:00 Basic of excel data analysis
00:04:20 Lookup & functions in excel data analysis
01:37:58 Conditional formating in excel data analysis
01:54:30 Data validation in excel data analysis
02:36:30 Sorting and filtering in excel data analysis
03:23:55 Data analysis using toolpak in excel data analysis

Dataset Link: https://drive.google.com/drive..../folders/1U8CF0Xx3Ni

✅Subscribe to our Channel to learn more about the top Technologies: https://bit.ly/2VT4WtH

⏩ Check out the Business Analytics tutorial videos: https://bit.ly/3hQFfDP

#DataAnalyticsInExcel #DataAnalyticsInExcelFullCourse #DataAnalyticsWithExcel #DataAnalyticsUsingExcel #DataAnalyticsCourse #DataAnalyticsCourseForBeginners #ExcelForDataAnalysis #ExcelForBeginners #ExcelBasicsForBeginners #ExcelTutorial #ExcelTutorialForBeginners #BusinessAnalystCourse #BusinessAnalyst #BusinessAnalytics #Simplilearn

What is Microsoft Excel?
Excel is one of the best applications available for creating spreadsheets to crunch numbers and dashboard reports and storing and administering data. This software first appeared on the scene back in 1987, and since then it has grown to become one of the most popular pieces of software for home or business. Excel can be used for data entry to store data in the form of a table, such as recording your daily expenses or business expenditure. It can also be used for inventory management.

✅ Professional Certificate Program In Data Analytics:

This Data Analytics Program is ideal for all working professionals and prior programming knowledge is not required. It covers topics like data analysis, data visualization, regression techniques, and supervised learning in-depth via our applied learning model with live sessions by leading practitioners and industry projects.

✅ Key Features:

- Professional Program certificate and Alumni Association membership
- Exclusive hackathons and Ask me Anything sessions by IBM
- 8X higher live interaction in live online classes by industry experts
- Capstone from 3 domains and 14+ Data Analytics Projects with Industry datasets from Google PlayStore, Lyft, World Bank etc.
- Master Classes delivered by Purdue faculty and IBM experts
- Simplilearn's JobAssist helps you get noticed by top hiring companies
- Resume preparation and LinkedIn profile building
- 1:1 mock interview
- Career accelerator webinars

✅ Skills Covered

- Data Analytics
- Statistical Analysis using Excel
- Data Analysis Python and R
- Data Visualization Tableau and Power BI
- Linear and logistic regression modules
- Clustering using kmeans
- Supervised Learning

Learn more at: https://www.simplilearn.com/pgp-data-analytics-certification-training-course?utm_campaign=DataAnalytics-OOWAk2aLEfk&utm_medium=DescriptionFirstFold&utm_source=youtube

For more information about Simplilearn’s courses, visit:
- Facebook: https://www.facebook.com/Simplilearn
- Twitter: https://twitter.com/simplilearn
- LinkedIn: https://www.linkedin.com/company/simplilearn/
- Website: https://www.simplilearn.com
- Instagram: https://www.instagram.com/simplilearn_elearning
- Telegram Mobile: https://t.me/simplilearnupdates
- Telegram Desktop: https://web.telegram.org/#/im?....p=@simplilearnupdate

Get the Android app: http://bit.ly/1WlVo4u
Get the iOS app: http://apple.co/1HIO5J0

🔥🔥 Interested in Attending Live Classes? Call Us: IN - 18002127688 / US - +18445327688

🔥 Advanced Certificate Program In Data Science: https://www.simplilearn.com/pgp-data-science-certification-bootcamp-program?utm_campaign=MachineLearning-eM4uJ6XGnSM&utm_medium=DescriptionFirstFold&utm_source=youtube
🔥 Data Science Bootcamp (US Only): https://www.simplilearn.com/data-science-bootcamp?utm_campaign=MachineLearning-eM4uJ6XGnSM&utm_medium=DescriptionFirstFold&utm_source=youtube

This Random Forest Algorithm tutorial will explain how the Random Forest algorithm works. By the end of this video, you will be able to understand what is Machine Learning, what is a Classification problem, applications of Random Forest, why we need Random Forest, how it works with simple examples, and how to implement a Random Forest algorithm in Machine Learning. This video is a part of the Machine Learning with Python Series.

Below are the topics covered in this Random Forest Algorithm tutorial:
00:00 - 02:08 Applications of Random Forest Algorithm
02:08 - 02:59 Agenda
02:59 - 04:07 Classification Algorithms
04:07 - 05:36 Why Random Forest?
05:36 - 06:40 What is Random Forest Algorithm?
06:40 - 11:01 What is a Decision Tree?
11:01 - 14:18 How does the Decision Tree algorithm work?
14:18 - 17:27 How does the Random Forest algorithm work?
17:27 - 45:34 Use Case - IRIS Flower Analysis using Python

Dataset Link - https://drive.google.com/drive..../folders/1MQ5Nnhj3gs


🔥 Enroll for FREE Machine Learning Course & Get your Completion Certificate: https://www.simplilearn.com/learn-machine-learning-basics-skillup?utm_campaign=MachineLearning&utm_medium=Description&utm_source=youtube

Subscribe to our channel for more Machine Learning Tutorials: https://www.youtube.com/user/S....implilearn?sub_confi

#RandomForestAlgorithm #MachineLearningAlgorithm #DataScience #SimplilearnMachineLearning #MachineLearningCourse #Simplilearn

What is Random Forest Algorithm?
The random forest algorithm is a supervised machine learning algorithm that takes randomly selected data and creates different decision trees. It then makes the collection of votes from trees to decide the class of the test object.

You can also go through the Slides here: https://goo.gl/K8T4tW

Machine Learning Articles: https://www.simplilearn.com/what-is-artificial-intelligence-and-why-ai-certification-article?utm_campaign=Random-Forest-Tutorial-eM4uJ6XGnSM&utm_medium=Tutorials&utm_source=youtube

To gain in-depth knowledge of Machine Learning, check our Machine Learning certification training course: https://www.simplilearn.com/big-data-and-analytics/machine-learning-certification-training-course?utm_campaign=Random-Forest-Tutorial-eM4uJ6XGnSM&utm_medium=Tutorials&utm_source=youtube

- - - - - - - -

About Simplilearn Machine Learning course:

A form of artificial intelligence, Machine Learning is revolutionizing the world of computing as well as all people’s digital interactions. Machine Learning powers such innovative automated technologies as recommendation engines, facial recognition, fraud protection and even self-driving cars. This Machine Learning course prepares engineers, data scientists and other professionals with the knowledge and hands-on skills required for certification and job competency in Machine Learning.

- - - - - - -

What skills will you learn from this Machine Learning course?

By the end of this Machine Learning course, you will be able to:

1. Master the concepts of supervised, unsupervised and reinforcement learning concepts and modeling.
2. Gain practical mastery over principles, algorithms, and applications of Machine Learning through a hands-on approach which includes working on 28 projects and one capstone project.
3. Acquire thorough knowledge of the mathematical and heuristic aspects of Machine Learning.
4. Understand the concepts and operation of support vector machines, kernel SVM, naive Bayes, decision tree classifier, random forest classifier, logistic regression, K-nearest neighbors, K-means clustering and more.

- - - - - - -

Who should take this Machine Learning Training Course?

We recommend this Machine Learning training course for the following professionals in particular:

1. Developers aspiring to be a data scientist or Machine Learning engineer
2. Information architects who want to gain expertise in Machine Learning algorithms
3. Analytics professionals who want to work in Machine Learning or artificial intelligence
4. Graduates looking to build a career in data science and Machine Learning

- - - - - -

For more updates on courses and tips follow us on:
- Facebook: https://www.facebook.com/Simplilearn
- Twitter: https://twitter.com/simplilearn
- LinkedIn: https://www.linkedin.com/company/simplilearn
- Website: https://www.simplilearn.com

🔥🔥 Interested in Attending Live Classes? Call Us: IN - 18002127688 / US - +18445327688

🔥Enroll for Free Cyber Security Course & Get Your Completion Certificate: https://www.simplilearn.com/learn-cyber-security-basics-skillup?utm_campaign=Top5CyberSecuritySkillsShorts&utm_medium=ShortsDescription&utm_source=youtube

This Simplilearn video will acquaint you with the top 5 cybersecurity skills that will help you get into the field of cybersecurity. Today, a cybersecurity career is highly promising. Let's begin this cybersecurity shorts video!

✅Subscribe to our Channel to learn more about the top Technologies: https://bit.ly/2VT4WtH


⏩ Check out the Cyber Security training videos: https://bit.ly/3cMmCxj


#CyberSeucityCareer #Top5CyberSeucritySkills #CyberSecuritySkills #HowToBecomeACyberSecurityExpert #CyberSecurity #CyberSecurityTrainingForBeginners #CyberSecurity #CyberSecurityTraining #CyberSecurity #Simplilearn #Shorts


What Is Cyber Security?
Cyber Security involves techniques that help in securing various digital components, networks, data, and computer systems, from unauthorized digital access. There are several ways to implement cybersecurity, depending on the kind of network you are connected to and the type of cyberattacks you are prone to. A few ways to implement cybersecurity are defining clear boundaries, using network security control devices like Firewalls and IDS.


Post Graduate Program in Cyber Security:
This Post Graduate Program in Cyber Security is designed to equip you with the skills required to become an expert in the rapidly growing field of Cyber Security. This cyber security course aims to help you stay abreast all the latest trends in cyber security as well. This Post Graduate Program in Cyber Security will help you learn comprehensive approaches to protecting your infrastructure and securing your data, including risk analysis and mitigation, cloud-based security, and compliance. You will receive foundational to advanced security skills through industry-leading certification courses that are part of the program.


Key Features:
✅ Simplilearn Post Graduate Certificate
✅ Masterclasses from MIT Faculty
✅ Featuring Modules from MIT SCC and EC-Council
✅ 150+ hours of Applied Learning
✅ Get noticed by the top hiring companies
✅ EC-Council learning kit
✅ Industry case studies in cyber security
✅ MIT SCC Professional Learning Community
✅ Capstone project in 3 domains
✅ 25+ hands-on projects


Learn more at: https://www.simplilearn.com/pgp-cyber-security-certification-training-course?utm_campaign=Top5CyberSecuritySkillsShorts&utm_medium=ShortsDescription&utm_source=youtube


For more information about Simplilearn courses, visit:
- Facebook: https://www.facebook.com/Simplilearn
- Twitter: https://twitter.com/simplilearn
- LinkedIn: https://www.linkedin.com/company/simplilearn/
- Website: https://www.simplilearn.com
- Instagram: https://www.instagram.com/simplilearn_elearning
- Telegram Mobile: https://t.me/simplilearnupdates
- Telegram Desktop: https://web.telegram.org/#/im?....p=@simplilearnupdate


Get the Simplilearn app: https://simpli.app.link/OlbFAhqMqgb

🔥🔥 Interested in Attending Live Classes? Call Us: IN - 18002127688 / US - +18445327688

🔥Machine Learning Training with Python: https://www.edureka.co/machine....-learning-certificat

This Edureka video on Random Forest in Machine Learning explains the concept of the Random Forest algorithm in Python and how is it used.

🔹Check out our Playlist: http://bit.ly/2taym8X
🔹Blog Series: https://bit.ly/2PX5lIp
🔴Please do subscribe to our channel and hit the bell icon to never miss an update from us in the future: https://goo.gl/6ohpTV


------------------------------------Edureka Online Training and Certification---------------------------------

🔵 DevOps Online Training: https://bit.ly/2BPwXf0
🟣 Python Online Training: https://bit.ly/2CQYGN7
🔵 AWS Online Training: https://bit.ly/2ZnbW3s
🟣 RPA Online Training: https://bit.ly/2Zd0ac0
🔵 Data Science Online Training: https://bit.ly/2NCT239
🟣 Big Data Online Training: https://bit.ly/3g8zksu
🔵 Java Online Training: https://bit.ly/31rxJcY
🟣 Selenium Online Training: https://bit.ly/3dIrh43
🔵 PMP Online Training: https://bit.ly/3dJxMTW
🟣 Tableau Online Training: https://bit.ly/3g784KJ

-----------------------------------------Edureka Masters Programs---------------------------------------------------

🔵DevOps Engineer Masters Program: https://bit.ly/2B9tZCp
🟣Cloud Architect Masters Program: https://bit.ly/3i9z0eJ
🔵Data Scientist Masters Program: https://bit.ly/2YHaolS
🟣Big Data Architect Masters Program: https://bit.ly/31qrOVv
🔵Machine Learning Engineer Masters Program: https://bit.ly/388NXJi
🟣Business Intelligence Masters Program: https://bit.ly/2BPLtn2
🔵Python Developer Masters Program: https://bit.ly/2Vn7tgb
🟣RPA Developer Masters Program: https://bit.ly/3eHwPNf

-----------------------------------------Edureka PGP Courses---------------------------------------------------

🔵Artificial and Machine Learning PGP: https://bit.ly/2Ziy7b1
🟣CyberSecurity PGP: https://bit.ly/3eHvI0h
🔵Digital Marketing PGP: https://bit.ly/38cqdnz
🟣Big Data Engineering PGP: https://bit.ly/3eTSyBC
🔵Data Science PGP: https://bit.ly/3dIeYV9
🟣Cloud Computing PGP: https://bit.ly/2B9tHLP

-----------------------------------------------------------------

Twitter: https://twitter.com/edurekain
LinkedIn: https://www.linkedin.com/company/edureka
Instagram: https://www.instagram.com/edureka_learning/
Facebook: https://www.facebook.com/edurekaIN/
SlideShare: https://www.slideshare.net/EdurekaIN
Castbox: https://castbox.fm/networks/505?country=in
Meetup: https://www.meetup.com/edureka/

#Edureka #PythonEdureka #RandomForestAlgorithm #pythonMachineLearning #pythonTraining #Python

------------------------------------------------------------------
How it Works?
1. This is a 5 Week Instructor led Online Course,40 hours of assignment and 20 hours of project work
2. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course.
3. At the end of the training you will be working on a real time project for which we will provide you a Grade and a Verifiable Certificate!

- - - - - - - - - - - - - - - - -

About the Course :

Edureka’s Machine Learning Course using Python is designed to make you grab the concepts of Machine Learning. The Machine Learning training will provide deep understanding of Machine Learning and its mechanism. As a Data Scientist, you will be learning the importance of Machine Learning and its implementation in python programming language. Furthermore, you will be taught of Reinforcement Learning which in turn is an important aspect of Artificial Intelligence. You will be able to automate real life scenarios using Machine Learning Algorithms. Towards the end of the course we will be discussing various practical use cases of Machine Learning in python programming language to enhance your learning experience.
--------------------------------------
Why Learn Machine Learning with Python?

Data Science is a set of techniques that enables the computers to learn the desired behavior from data without explicitly being programmed. It employs techniques and theories drawn from many fields within the broad areas of mathematics, statistics, information science, and computer science. This course exposes you to different classes of machine learning algorithms like supervised, unsupervised and reinforcement algorithms. This course imparts you the necessary skills like data pre-processing, dimensional reduction, model evaluation and also exposes you to different machine learning algorithms like regression, clustering, decision trees, random forest, Naive Bayes and Q-Learning.
--------------------------------------------------------------------

Got a question on the topic? Please share it in the comment section below and our experts will answer it for you.

For more information, please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll-free)

This deep learning course is designed to take you from beginner to proficient in deep learning. You will learn the fundamental concepts, architectures, and applications of deep learning in a clear and practical way. So get ready to build, train, and deploy models that can tackle real-world problems across various industries.

Course created by @AyushSinghSh

GitHub: https://github.com/ayush714/co....re-deep-learning-cou

⭐️ Contents ⭐️
0:00:00 Intro
0:03:07 Getting started
0:05:07 Vectors
0:21:51 Operation on vectors
0:38:52 Matrices
0:52:02 Operation on Matrices
0:52:27 Matrix Scalar Multiplication
0:55:47 Addition of Matrices
0:59:27 Properties of Matrix addition
1:03:07 Matrix Multiplication
1:08:02 Properties of Matrix Multiplication
1:18:32 Linear Combination Concept
1:36:20 Span
1:50:57 Linear Transformation
2:05:30 Transpose
2:14:02 Properties of Transpose
2:19:52 Dot Product
2:25:22 Geometric Meaning of Dot Product
2:34:32 Types of Matrices
3:04:22 Determinant
3:11:17 Geometric Meaning of Determinant
3:15:42 Calculating Determinant
3:23:37 Properties of Determinant
3:27:22 Rule of Sarus
3:48:42 Minor
3:56:49 Cofactor of a Matrix
4:00:42 Steps to calculate Cofactor of a Matrix
4:03:17 Adjoint of a Matrix
4:18:47 Trace of a Matrix
4:17:22 Properties of Trace
4:38:17 System of Equations
5:03:07 Example
5:17:42 Determinant
5:57:47 Single Variable Calculus
6:02:48 What is Calculus?
6:11:07 Ideas in Calculus
6:11:33 Differentiation
6:18:38 Integration
6:22:07 Precalculus Functions
6:43:52 Single Variable Calculus (Trigonometry Review)
6:45:02 Trigonometry functions
7:12:02 Unit Circle
7:24:32 Limit Concept
7:51:47 Definition of a limit
7:53:27 Continuity
8:00:17 Evaluating Limits
8:17:12 Sandwich Theorem
8:21:12 Differentiation
8:45:42 Differentiation as rate of Change
8:52:37 Differentiation in terms of Limit
9:04:51 Example
9:09:54 Important Differentiation Rules
9:53:12 Rule Chain Rule
10:17:27 What is Deep Learning
10:18:27 What is Machine Learning
10:36:37 Definition of Deep Learning
10:43:07 Applications
10:47:19 Introduction to Neural Networks
10:51:17 Artificial Neural Networks
11:08:31 The Perceptron
11:19:57 Linear Neural Network
11:21:32 Intuition Behind Activation function and Backpropagation Algorithm



🎉 Thanks to our Champion and Sponsor supporters:
👾 davthecoder
👾 jedi-or-sith
👾 南宮千影
👾 Agustín Kussrow
👾 Nattira Maneerat
👾 Heather Wcislo
👾 Serhiy Kalinets
👾 Justin Hual
👾 Otis Morgan
👾 Oscar Rahnama

--

Learn to code for free and get a developer job: https://www.freecodecamp.org

Read hundreds of articles on programming: https://freecodecamp.org/news

So we've talked a lot in this series about how computers fetch and display data, but how do they make decisions on this data? From spam filters and self-driving cars, to cutting edge medical diagnosis and real-time language translation, there has been an increasing need for our computers to learn from data and apply that knowledge to make predictions and decisions. This is the heart of machine learning which sits inside the more ambitious goal of artificial intelligence. We may be a long way from self-aware computers that think just like us, but with advancements in deep learning and artificial neural networks our computers are becoming more powerful than ever.

Produced in collaboration with PBS Digital Studios: http://youtube.com/pbsdigitalstudios

Want to know more about Carrie Anne?
https://about.me/carrieannephilbin

The Latest from PBS Digital Studios: https://www.youtube.com/playli....st?list=PL1mtdjDVOoO

Want to find Crash Course elsewhere on the internet?
Facebook - https://www.facebook.com/YouTubeCrash...
Twitter - http://www.twitter.com/TheCrashCourse
Tumblr - http://thecrashcourse.tumblr.com
Support Crash Course on Patreon: http://patreon.com/crashcourse
CC Kids: http://www.youtube.com/crashcoursekids

Download the complete blueprint to making a movie for free: https://bit.ly/moviemakingblueprint

Camera guides, filmmaking and cinematography courses:
http://wolfcrow.ontraport.com/tl/8

What's in my camera bag:
http://wolfcrow.ontraport.com/tl/9

Find gear on Amazon:
https://www.amazon.com/shop/wolfcrow/

Find gear on B&H:
https://bhpho.to/2N3Na21

Buy the Red Monstro: https://bhpho.to/2WyDWlk
Buy the Sony Venice: https://bhpho.to/2WyDPWW

I rented a Red Monstro 8K cinema camera for a recent short film. I used Arri Master Anamorphics for a 2.40:1 finish, so my settings were 8K 6:5, 4:1 compression at about T8 mostly.

I also tested the Sony Venice for this project, since both of them are good cameras for low light. Overall, till ISO 3200, they are pretty much similar. At ISO 6400 the Sony Venice is definitely better, and it has great IRND filters that retain color information all the way up. Still, I picked the Monstro for reasons explained in the video.

BTS by Shrey Gambhir and Shyam Kamble
Camera rented from Kshitij Entertainment
Associate Cameramen: Shomit Naik and Murugan Vellaidurai
Focus Puller: Raju Kamat
Key Grip: Ganesh
Gaffer: Mehmood Ali

I'll publish the short film once I'm done with post.

Links related to this video:

Arri Alexa LF review: https://www.youtube.com/watch?v=36SgNE2qMLM
Arri vs Red: When to pick which: https://www.youtube.com/watch?v=ofKveshwVbo
Comparison of Cine Primes for Full Frame: http://bit.ly/2JO0BEo
Rice Mill: https://www.youtube.com/watch?v=dvccueIPlfo
Anamorphic Workflow Guide: https://www.youtube.com/watch?v=o6y9zrFJNFI
Red ISO page: https://www.red.com/red-101/iso-speed-revisited
Written review: http://bit.ly/2JOsSuq

Links can be to our affiliates and we might get paid a commission for any purchases you make. Please support wolfcrow and purchase using these links. It won't cost you extra.

Don't forget to subscribe!

TOP 50 - In this video we will see the most beautiful animals in the world 8K.
You can see cute animals and endangered animals with nocturnal animals.
In this 8K ULTRA HD video you can see it with HDR and dolby atmos.
Nature sounds relaxing music birds are amazing to sleep and 8k animals and nature with 8k animal sounds.

All animals 8k living on the planet earth 8K are beautiful. The diversity on our world is practically endless with different sizes, shapes, characteristics and colours of animals and birds 8K. Thanks to these beautiful animals 8K living in all environments, the world is a more pleasant, mysterious and interesting place with 8k animal sounds.

The natural beauty of the animals around us has always been inspirational. One of the first 8K videos to discover the beauty of animals and try to depict it was the 8k animals and nature.
Up to now, animal videos remains one of the most popular genres of animals and birds.
We at 8K ULTRA HD videos have prepared a selection of 8K videos of the most beautiful and cute animals from all over the globe, and we just can’t take our eyes off them.

In this 8K video we wanted to discover the 50 most beautiful 8k animals wildlife in the world and we've found our best and cute animals. This doesn't mean there aren't other beautiful animals out there. We just think the following creatures stand out as the coolest to see them in 8K resolution HDR dolby atmos. They are birds, majestic and beautiful animals, some are pretty animals.
Beauty is a broad and subjective term. If there is an animal that you think is one of the most beautiful but does not feature on the list, leave us a comment and we will take it into account for future 8K ULTRA HD videos with the most beautiful places in the world 8K and nature sounds relaxing music birds.

00:00 INTRO 8K ULTRA HD
00:05 The Most Beautiful Animals in the World
00:10 Tiger
00:57 Golden Macaw - Blue-and-Gold Macaw
01:30 Mandarin Fish - Dragonet
02:00 African Leopard
02:37 Chameleon
03:09 The resplendent Quetzal
03:44 Dolphin
04:21 Crowned Pigeon
04:53 Orangutan
05:26 African Lion
06:14 Panda
06:51 Sea Dragon
07:14 Flamingo
07:52 Pheasant
08:42 Parrots
09:53 African Elephant
10:51 Penguins
12:06 Gorilla
13:18 Lemur
14:37 Clown Fish
15:52 Bald Eagle
17:19 Scarlet Macaw
18:56 Cheetah
19:52 Red Panda
21:00 Bear
22:16 Giraffe
23:24 Weaver Bird
24:55 Kangaroo
26:19 Whale Shark
27:49 Red Colobus Monkey
29:11 Hummingbird
30:47 Hippopotamus
32:14 Shark
33:52 Swan
35:20 Crocodile
36:30 Lilac Breasted Roller Bird
37:55 Sea Lion
39:25 Otter
40:41 Snowy Owl
42:09 Lynx
43:21 Cormorant
44:48 Warthog
46:00 Gray Heron
47:51 African Kudu
48:53 Gray Tree Frog
49:24 Spotted Seal
50:39 Stork
51:54 Beaver
53:07 Seagull
54:44 Lapwing
55:49 Humpback Whale
57:14 Squid
58:20 Squirrel
01:00:12 Fallow Deer
01:01:37 Python
01:02:54 Sheep
01:04:12 Parrot Fish
01:05:12 OUTRO 8K ULTRA HD

Follow me:
►YouTube: https://www.youtube.com/channe....l/UC8D_NXFBh8A9KSwo7
►Facebook: https://www.facebook.com/bruno.saraviavega
►Instagram: https://www.instagram.com/brunosaraviaphotography

Canon - Sony - Nikon - Adobe Premiere Pro CC - Photoshop - Lightroom CC
Youtube Business - Youtube Profit - Bank Credit - Loans - Educational - Education - Insurance

Amazing & Beautiful The Most Beautiful Animals in the world 8K HDR 60FPS (FUHD) Demo 8K ULTRA HD

#8K #ANIMALS #TOP50 #MOST #BEAUTIFUL #ANIMAL #WORLD #EARTH #QLEDTV #OLED #PLANET #CUTE #ENDANGERED

Adobe has released a new Photoshop beta version that introduces game-changing AI features, changing the way you edit images and photos, particularly beneficial for photographers, graphic designers, and creators.

The first AI feature, "Generate Objects", lets users select a certain area of an image and then input text specifying a desired change. The tool uses AI to make this change, for example, changing hair color.

The second feature, "Generate Backgrounds", allows users to select the subject of a photo and then specify a new background, with AI then generating various samples.

The third AI feature, "Extend Image", helps in expanding the image boundaries by adding extra elements such as extending a sky or a sandy beach, based on a user's text prompt.

The fourth feature, "Remove Objects", helps in removing selected elements from a picture by selecting the area and leaving the text prompt empty, allowing AI to remove all elements within the frame.

Timecodes:

0:00 Intro
0:31 The new AI imaging revolutions
1:40 The FOUR new Photoshop AI features
1:54 First feature: Generate Objects
3:47 Second feature: Generate Backgrounds
5:02 Third feature: Extend Images
7:07 Fourth feature: Remove Objects
8:08 Outro

#photoshop #sony