Will we see a new generation of airships roaming our skies? Head to https://www.odoo.com/r/veritasium to start building your own website for free.

If you’re looking for a molecular modeling kit, try Snatoms – a kit I invented where the atoms snap together magnetically – https://ve42.co/SnatomsV

▀▀▀
Thank you to Eli Dourado for letting us explore the argument he describes in his article: https://ve42.co/Dourado

A huge thank you to Dan Grossman and Nick Allman for their time, help, and expertise.

Also a massive thank you to those who helped us understand the world of modern airships, and provided valuable feedback - Prof. Barry Prentice, Gennadiy Verba, Prof.
Christoph Pflaum, Heather Roszczyk, Dr. Casey Handmer, Richard Van Trueren, & Thibault Proux.

We are also grateful for the collaboration of the companies who are working hard to make this comeback happen - Atlas LTA, Buoyant Aircraft Systems International, Hybrid Air Vehicles, LTA Research, & Flying Whales.


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References:

How Airships Could Overcome a Century of Failure, Bloomberg Originals via YouTube - https://ve42.co/AirshipsCoF

Why the Airship May Be the Future of Air Travel, Undecided with Matt Ferrell via YouTube - https://ve42.co/FutureAirships

Airship, Wikipedia - https://ve42.co/AirshipWiki

Handmer, C. (2020). A quick note on airships. Casey Handmer’s Blog - https://ve42.co/Handmer2020

UNCTAD (2020). Review of Maritime Transport 2020 - https://ve42.co/RMT2020

National Transportation Research Center (2023). Freight Analysis Framework Version 5 (FAF5) - https://ve42.co/FAF5

Hybrid Air Vehicles (2023). HAV - https://ve42.co/HAV

LTA Research (2023). Lighter Than Air (LTA) Research - https://ve42.co/LTAResearch

OceanSkyCruises (2023). North Pole Expedition - OceanSkyCruises - https://ve42.co/NPExpedition

Flying Whales (2023). Flying Whales - https://ve42.co/FlyingWhales

Buoyant Aircraft Systems International (2023). BASI - https://ve42.co/BASI

Atlas LTA (2023). Atlas Electric Airships | Atlas LTA Airships - https://ve42.co/AtlasLTA

Prentice, B. (2021). Hydrogen gas-fuelled airships could spur development in remote communities. The Conversation - https://ve42.co/HydrogenAirships

Grossman, D. (2009). The Hindenburg Disaster. Airships - https://ve42.co/Hindenburg1

Hindenburg Disaster, Wikipedia - https://ve42.co/HindenburgWiki

What happened to the Hindenburg?, Jared Owen via Youtube - https://ve42.co/Owen2019

National Museum of the U.S. Navy. USS Akron (ZRS-4) - https://ve42.co/USSAkron

USS Akron, Wikipedia - https://ve42.co/USSAkronWiki


▀▀▀
Special thanks to our Patreon supporters:
Adam Foreman, Amadeo Bee, Anton Ragin, Balkrishna Heroor, Benedikt Heinen, Bernard McGee, Bill Linder, Burt Humburg, Dave Kircher, Diffbot, Evgeny Skvortsov, Gnare, Jesse Brandsoy, John H. Austin, Jr., john kiehl, Josh Hibschman, Juan Benet, KeyWestr, Lee Redden, Marinus Kuivenhoven, Mario Bottion, MaxPal, Meekay, meg noah, Michael Krugman, Orlando Bassotto, Paul Peijzel, Richard Sundvall, Sam Lutfi, Stephen Wilcox, Tj Steyn, TTST, Ubiquity Ventures

▀▀▀
Written by Casper Mebius & Derek Muller
Directed by Casper Mebius
Edited by Jack Saxon
Filmed by Derek Muller, Jamie MacLeod, Han Evans, & Raquel Nuno
Animation by Mike Radjabov & Fabio Albertelli
Additional video/photos supplied by Getty Images, Pond5, & Envato Elements
Music from Epidemic Sound & Pond5
Produced by Casper Mebius, Derek Muller, & Han Evans


More footage & photos from:
Thermite Rail Welding video by dulevoz via YouTube - https://www.youtube.com/watch?v=rNjosF789X4

O’Rourke, T. (2016). Chronicle Covers: When the Hindenburg burst into flames. San Francisco Chronicle - https://ve42.co/Hindenburg2

Wind turbine blade transport video by DOLL Fahrzeugbau via YouTube - https://www.youtube.com/watch?v=5aPXuap0LZw

Wind turbine blade transport through mountains video by CGTN via Youtube - https://www.youtube.com/watch?v=9dtUrY8_1CM

Former Airship Hangar by Stefan Kühn - https://ve42.co/Aerium

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Welcome to our in-depth tutorial on Ethical HackerGPT! In this video, we'll explore HackerGPT, a specialized version of ChatGPT designed specifically for cybersecurity and ethical hacking. With cyberattacks occurring every 39 seconds and causing billions in damages, HackerGPT provides crucial tools and knowledge to protect against these threats. Discover how HackerGPT can guide you through a variety of topics, including performing security assessments, ethical hacking techniques, and scripting for system security. HackerGPT adheres strictly to ethical guidelines, ensuring all guidance aligns with legal and professional standards. Learn how to become a skilled cybersecurity professional, equipped to defend against cyber threats ethically and effectively. Join us for this engaging and informative tutorial, and enhance your cybersecurity skills with HackerGPT.

Here in this Ethical HackerGPT Tutorial, we cover the following topics:

00:00 Introduction to Cyber Security
02:10 Exploring Ethical Hacker GPT
04:33 Asking General Cybersecurity prompts from Ethical HackerGPT
06:05 Asking Ethical Hacking prompts from Ethical HackerGPT
07:33 Asking Scripting and Automation prompts from Ethical HackerGPT
09:39 Asking Specific Security Tools prompts from Ethical HackerGPT
10:47 Asking Incident Response prompts from Ethical HackerGPT
12:40 Asking Advanced Topics prompts from Ethical HackerGPT
15:55 Asking Cybersecurity Policies and Compliance prompts from Ethical HackerGPT

FAQs

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The Excel Full Course Video By Simplilearn will help you learn Microsoft excel from basics to advanced. The full course begins with an Introduction to Excel and covers everything from beginners to advanced, including creating funnel charts, mastering SUMIFS and AVERAGEIFS formulas, and advanced tips like the IF formula. You’ll also explore data visualization, building professional Excel charts, and creating dependent drop-down lists. Additionally, it includes modern tools such as Power Query, AI for data analytics, and even ChatGPT for dashboard building. This course also addresses essential topics like data cleaning, comparisons of data analysts vs data scientists, and understanding databases vs data warehouses.

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05:34:44 Excel Full Course Beginners to Advanced
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05:42:10 Big Data in 5 minutes
05:50:28 Data Analyst Roadmap
05:52:32 Data Science Vs Data Analyst
06:02:55 Data Science Vs Data Analyst
06:25:18 Data Analytics using AI
06:31:31 How To Use The Scan Function in Excel ?
06:41:49 How To Use IF Formula In Excel - ADVANCED TIPS
06:44:12 SUMIFS Formula in Excel
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➡️ About Post Graduate 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.

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Welcome to our comprehensive guide on 'Data Cleaning for Data Analytics'! In this video, we dive into the crucial world of data preparation, focusing on the essential process of data cleaning. Whether you're a budding data analyst, a business professional, or just someone fascinated by the power of data, this video is crafted to enhance your understanding and skills in data cleaning.

What You'll Learn:

Fundamentals of Data Cleaning: Understand what data cleaning is and why it's a critical step in data analysis.
Common Data Quality Issues: Identify typical challenges like missing values, inconsistent formats, outliers, and duplicate data.
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➡️ About Post Graduate 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
- Post Graduate 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

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- 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

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This Business Intelligence Tutorial For Beginnersby Simplilearn will take you through the core concept of what is business intelligence. In this video, you will understand the process of business intelligence along with the applications and tools used for business intelligence. In addition, you will also know about the process involved in business intelligence.

Below are the topics we have covered in this business intelligence tutorial for beginners.
00:00 What is Business Intelligence?
02:23 Introduction to Business Intelligence
02:42 Steps Involved In Business Intelligence
06:07 Applications Of Business Intelligence
07:42 Tools for Business Intelligence

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🔵 Whats Is Business Intelligence?
Business Intelligence, often referred to as BI, is the process of collecting, analyzing, and transforming raw data into actionable insights for business purposes. It helps organizations make informed decisions, enhance performance, and gain a competitive edge in today's dynamic marketplace.

➡️ About Post Graduate Program In Business Analysis
This Post Graduate Program in Business Analysis is for professionals looking to pursue a Business Analysis career, understand business analysis techniques, get hands-on experience, and for experienced analysts looking to learn the latest tools and frameworks used by Agile teams.

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- Certificate from Simplilearn in collaboration with Purdue University
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- Harvard Business Publishing case studies of Pearson, CarMax, EvCard, etc.
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This video on Machine Learning Full Course video by Simplilearn, will help begin with the basics of Artificial intelligence and machine learning. This Machine Learning Full Course begins with an Introduction to Machine Learning, that helps you with a complete guide to mastering machine learning concepts and applications. It begins with an explanation of what machine learning is and offers insights into how to learn AI and ML effectively. The course includes a deep learning tutorial for beginners and introduces the best AI coding tools to boost productivity. Practical guidance on how to get a job in AI and the basics of machine learning sets the foundation for career advancement. Advanced topics like Q-learning, reinforcement learning, and LSTM (Long Short-Term Memory) are also explored. You’ll delve into linear algebra for machine learning, LLM benchmarking, and learn how to run Llama privately. Additional highlights include a stable diffusion tutorial, exploratory data analysis using Python, and tools like Meta’s new Llama 3.2. The course concludes with an in-depth look at the confusion matrix in ML, equipping you with both theoretical and practical knowledge for machine learning projects.

Following are the topics covered in this Machine Learning Full Course:
00:00:00 Introduction to Machine Learning Full Course
00:56:31 What is Machine Learning
00:58:05 How To Learn Artificial Intelligence and Machine Learning
01:12:13 Deep Learning Tutorial For Beginners
01:24:17 Best AI Coding tools
01:31:16 How to get a job in AI
04:28:15 Machine Learning Basics
04:29:05 What is Q Learning
05:19:32 Linear Algebra for Machine Learning
05:28:25 LLM Benchmarking
05:37:37 Run Lllama Privately
05:48:12 Stable diffusion tutorial
06:22:15 Exploratory Data Analysis Using Python
10:33:36 Reinforcement Learning
10:41:54 Meta New Lama 3.2
11:00:05 Confusion Matrix ML
11:06:17 What is LSTM

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➡️ About Caltech Post Graduate Program In AI And Machine Learning

Designed to boost your career as an AI and ML professional, this program showcases Caltech CTME's excellence and IBM's industry prowess. The artificial intelligence course covers key concepts like Statistics, Data Science with Python, Machine Learning, Deep Learning, NLP, and Reinforcement Learning through an interactive learning model with live sessions.

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✅ Statistics
✅ Python
✅ Supervised Learning
✅ Unsupervised Learning
✅ Recommendation Systems
✅ NLP
✅ Neural Networks
✅ GANs
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This Generative AI Full Course 2025 by Simplilearn provides a structured learning path, starting with the fundamentals of Generative AI and a detailed roadmap to mastering it. Learners explore top AI technologies, including DeepSeek R1, Deep Learning, and Search GPT, followed by essential tools like LangChain. The course dives into Generative Adversarial Networks (GANs), Transformers, and Long Short-Term Memory (LSTM) networks, forming the foundation of modern AI models. It then introduces Large Language Models (LLMs), Machine Learning concepts, and Reinforcement Learning, leading into practical applications like ChatGPT analysis and OpenAI Sora. Advanced topics include LLM benchmarking, Hugging Face tutorials, and OpenAI's ChatGPT O1 model. Practical insights into Generative AI tools for job interviews, Agentic AI, and AI monetization strategies help learners stay ahead in the field. The course concludes with a look at Google Quantum AI and Machine Learning interview preparation, ensuring a strong grasp of both theoretical and applied AI concepts.

00:00:00 - Introduction to Gen AI Full Course 2025
00:00:45 - What is Gen AI
00:11:24 - Roadmap Gen AI
01:16:27 - What is Machine Learning
01:23:26 - Deep Learning
01:24:50 - Introduction to LLM
01:47:32 - What are Gen AI Agents
02:24:34 - Agentic AI
03:21:06 - Machine Learning Tutorial
05:26:29 - Reinforcement Learning
05:42:34 - Deepseek r1
05:53:47 - Install Deepseek
06:44:30 - Hugging Face and its tutorial
06:52:47 - Search GPT
06:55:02 - Langchain
07:51:37 - Generative Adversarial Tutorial
09:21:57 - Introduction to agentic workflow
09:31:19 - What are Gans
09:32:20 - Transformers in AI
09:44:49 - LSTM
10:04:40 - CHatgpt analyse
10:15:36 - Openai sora
10:24:29 - LLM Benchmarkeing
10:39:53 - Open ai chatgpt o1 model
10:48:16 - Google Quantam AI
10:53:49 - Majorana
10:58:58 - Gen ai tools for job interview
12:59:19 - Deep learning Interview questions
13:05:13 - Claude 3 sonnet

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⏩ Check out the Artificial Intelligence training videos: https://youtube.com/playlist?l....ist=PLEiEAq2VkUULa5a

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➡️ About Professional Certificate Program in Generative AI and Machine Learning

Dive into the future of AI with our Generative AI & Machine Learning course, in collaboration with E&ICT Academy, IIT Guwahati. Learn tools like ChatGPT, OpenAI, Hugging Face, Python, and more.

Key Features:
✅ Program completion certificate from E&ICT Academy, IIT Guwahati
✅ Curriculum delivered in live virtual classes by seasoned industry experts
✅ Exposure to the latest AI advancements, such as generative AI, LLMs, and prompt engineering
✅ Interactive live-virtual masterclasses delivered by esteemed IIT Guwahati faculty
✅ Opportunity to earn an 'Executive Alumni Status' from E&ICT Academy, IIT Guwahati
✅ Eligibility for a campus immersion program organized at IIT Guwahati
✅ Exclusive hackathons and “ask-me-anything” sessions by IBM
✅ Certificates for IBM courses and industry masterclasses by IBM experts
✅ Practical learning through 25+ hands-on projects and 3 industry-oriented capstone projects
✅ Access to a wide array of AI tools such as ChatGPT, Hugging Face, DALL-E 2, Midjourney and more
✅ Simplilearn's JobAssist helps you get noticed by top hiring companies

Skills Covered:
✅ Generative AI
✅ Prompt Engineering
✅ Chatbot Development
✅ Supervised and Unsupervised Learning
✅ Model Training and Optimization
✅ Model Evaluation and Validation
✅ Ensemble Methods
✅ Deep Learning
✅ Natural Language Processing
✅ Computer Vision
✅ Reinforcement Learning
✅ Machine Learning Algorithms
✅ Speech Recognition
✅ Statistics

Learning Path:
✅ Program Induction
✅ Programming Fundamentals
✅ Python for Data Science (IBM)
✅ Applied Data Science with Python
✅ Machine Learning
✅ Deep Learning with TensorFlow (IBM)
✅ Deep Learning Specialization
✅ Essentials of Generative AI, Prompt Engineering & ChatGPT
✅ Advanced Generative AI
✅ Capstone
Electives:
✅ ADL & Computer Vision
✅ NLP and Speech Recognition

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This video is your gateway to understanding Generative AI. We’ll explain what Generative AI is, how it works, and its advantages, along with ethical considerations. Discover Large Language Models like GPT and get hands-on with prompting techniques to create your own LLM app for Android. Explore top AI tools like ChatGPT and GitHub Copilot. Learn advanced concepts like Langchain and RAG. With demos and case studies, this video equips you with the skills to build advanced AI applications. Watch now and enhance your AI journey!

Learn the basics, advanced strategies, and practical applications to shape the future of AI-driven communication. Enroll for free and get a certificate of completion. Click on the link below https://www.mygreatlearning.com/academy/learn-for-free/courses/prompt-engineering-for-chatgpt?utm_source=CPV_YT&utm_medium=Desc&utm_campaign=GenAIFllcrsGenAITut_2024

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🏁 Topics Covered:
00:00:00 Introduction
00:01:39 Introduction to Generative AI
00:10:51 Advantages of Generative AI
00:12:12 The Future of Generative AI
00:13:22 Ethical Considerations in Generative AI
00:15:09 Introduction and Phases to LLMs
00:27:57 Introduction to OpenAPI GPT API
00:36:22 Claude 3.5 Sonnet
00:52:58 Claude Artifacts
00:53:52 Demo on Claude Artifacts
01:00:12 Use cases of Claude
01:02:25 Demo on Claude Sonnet
01:18:18 GPT 4o Mini and uses
01:20:26 Why GPT 4o Mini
01:21:39 Features of GPT 4o Mini
01:22:45 Difference between GPT 4o and GPT 4o Mini
01:24:26 Demo on Playground tab, Dashboard tab, Docs tab and API References tab
01:29:06 Prompting on Playground and Billing Settings
01:31:22 Version of Google Gemini
01:38:10 General Prompt Demo Google AI Studio
01:40:33 Structured Prompt in Google AI Studio
01:46:01 Model Tuning in Google AI Studio using System Sample
01:48:28 Other data import options in Google AI Studio using System Sample
01:51:30 Abstract of the Email Generator App
01:51:55 Software Requirements for App
01:54:15 Implementation of the App
02:03:43 Executing the App
02:06:28 Generative AI Popular Tools
02:06:57 ChatGPT
02:07:13 Github Copilot
02:07:26 Claude
02:07:41 Gemini
02:08:27 Basics of Prompt Engineering
02:30:02 Basics of ChatGPT
02:31:06 Demonstration of Prompt on ChatGPT
02:34:37 Python App using ChatGPT 4o
02:41:59 Using ChatGPT 4o for Statistical Analysis
02:49:08 Demonstration of Prompt using ChatGPT 4-o
02:51:12 Portfolio website code execution
02:25:27 Introduction to Github and Github Copilot
03:08:47 Hands-on session on Github Copilot
03:41:34 Introduction of Claude
03:53:24 Prompt Engineering and Install Claude
04:05:03 Hands-on Claude
04:19:13 Program for tic-toe game using Claude
04:21:10 Claude 2 API
04:28:37 Integration of Python and Gemini 1.5 pro
04:35:20 Chatbot using Gemini 1.5 pro
04:53:12 Generative AI Applications
05:06:33 Flask ChatGPT App
05:25:30 Flask Text-to-Image App
05:27:36 Demo - Flask Text-to-Image App
05:36:24 Introduction to Langchain
05:40:18 Why LangChain?
05:45:30 Development Environment Setup of LangChain
05:47:04 Demo on Library Installation
05:49:29 LangChain Core Concepts
05:54:22 LangChain Components
06:00:23 LangChain Case Study
06:09:12 Limitations of LLMs
06:11:04 Introduction to RAG
06:18:08 RAG Basics Concepts and Terminology
06:29:41 Key Components of RAG - Retrieval and Generation
06:38:11 Workflow and Applications of RAG
07:04:17 Hallucinations in RAG
07:12:25 Steps to implement RAG with LangChain
07:25:40 Hands-on RAG in detail

#genai #generativeai #aitutorial

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Einstein was wrong about black holes, what else? Use code veritasium at the link below to get an exclusive 60% off an annual Incogni plan: https://incogni.com/veritasium

A massive thank you to Prof. Geraint F. Lewis and Prof. Juan Maldacena for their expertise and help with this video.

A huge thank you to those who helped us understand this complicated topic: Dr. Suddhasattwa Brahma, Prof. Carlo Rovelli, Dr. Hal Haggard, Prof. Martin Bojowald, Dr. Francesca Vidotto, Prof. Andrew Hamilton, and Dr. Carl-Fredrik Nyberg Brodda.

A special thanks to Alessandro Roussel from ScienceClic for his spectacular simulations and feedback on the video. Check out his channel here: https://ve42.co/ScienceClic

An excellent book on this topic and an inspiration for this video: Cox, B., & Forshaw, J. (2023). Black holes: the key to understanding the universe.

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Special thanks to our Patreon supporters! Join the community to help us keep our videos free, forever: https://ve42.co/PatreonDE

Adam Foreman, Anton Ragin, Balkrishna Heroor, Bertrand Serlet, Bill Linder, Blake Byers, Burt Humburg, Chris Harper, Dave Kircher, David Johnston, Evgeny Skvortsov, Garrett Mueller, Gnare, gpoly, I. H., John H. Austin, Jr., john kiehl, Josh Hibschman, Juan Benet, KeyWestr, Kyi, Lee Redden, Marinus Kuivenhoven, Martin, Matthias Wrobel, Max Paladino, Meekay, meg noah, Michael Krugman, Orlando Bassotto, Paul Peijzel, Richard Sundvall, Sam Lutfi, Stephen Wilcox, Tj Steyn, Toni , TTST, Ubiquity Ventures, wolfee

If you’re looking for a molecular modeling kit, try Snatoms, a kit I invented where the atoms snap together magnetically - https://ve42.co/SnatomsV

▀▀▀
References:
Thorne, K. (1995). Black Holes & Time Warps: Einstein's Outrageous Legacy.
Relativity Playlist by ScienceClic - https://ve42.co/SCPlaylist
Hamilton, A. J. S. (2021). General Relativity, Black Holes, and Cosmology - https://ve42.co/Hamilton2021
Black Hole Events by PBS Space Time - https://youtu.be/vNaEBbFbvcY?l....ist=PLsPUh22kYmNBl4h
Newton’s Letters via The Newton Project - https://ve42.co/NewtonMail
Einstein, A. (1915). Die feldgleichungen der gravitation. - https://ve42.co/Einstein1915
Why Time and Space Swap by ScienceClic - https://youtu.be/GQZ3R81iyE0
Schwarzschild, K. (1916). Über das Gravitationsfeld eines Massenpunktes nach der Einsteinschen Theorie. - https://ve42.co/Schwarzschild1916
Wali, K. C. (1982). Chandrasekhar vs. Eddington—an unanticipated confrontation. - https://ve42.co/Wali1982
How to Build a Black Hole by PBS Space Time - https://www.youtube.com/watch?v=xx4562gesw0
Oppenheimer, J. R., & Volkoff, G. M. (1939). On massive neutron cores. - https://ve42.co/TOVLimit
Oppenheimer, J. R., & Snyder, H. (1939). On continued gravitational contraction. - https://ve42.co/Oppenheimer1939
Schwarzschild Geometry by Andrew Hamilton - https://ve42.co/SchwarzGeom
Why all world maps are wrong by Vox - https://www.youtube.com/watch?v=kIID5FDi2JQ
Hamilton, A. J., & Lisle, J. P. (2008). The river model of black holes. - https://ve42.co/HamiltonLisle2008
Mapping The Multiverse by PBS Space Time - https://www.youtube.com/watch?v=4v9A9hQUcBQ
Rotating black hole via Wikipedia - https://ve42.co/WikiRBH
Wormhole Travel by PBS Space Time - https://www.youtube.com/watch?v=ldVDM-v5uz0
Morris, M. S., & Thorne, K. S. (1988). Wormholes in spacetime and their use for interstellar travel. - https://ve42.co/MorrisThorne1988

Images & Video:
D3 Geo Projection Library by Mike Bostock https://ve42.co/d3geo
Interrupted Maps by Jason Davies https://ve42.co/DaviesMaps
Kazmierczak, J. et al. (2021). NASA’s NICER Tests Matter’s Limits. - https://ve42.co/NasaNICER
Bridgman, T. et al. (2024). M5.1 flare 'Double Whammy', at Active Regions 13559 and 13561. NASA SVS. - https://ve42.co/NasaFlare
Schnittman, J. et al. (2019). Black Hole Accretion Disk Visualization. - https://ve42.co/NasaAccrDisk
Wiessinger, S. et al. (2020). A Decade of Sun. NASA SVS. - https://ve42.co/NasaSunDecade
Skelly, C. et al. (2017). What is a Neutron Star? NASA SVS. - https://ve42.co/NasaNeutron
What would we see if we fell into a black hole by ScienceClic - https://youtu.be/4rTv9wvvat8
Earth texture - https://ve42.co/NASAEarth
First image of Sgr A* - https://ve42.co/EHT1
Image of M87 - https://ve42.co/EHT2
Polarized light image of Sgr A* - https://ve42.co/EHT3

▀▀▀
Directed by Casper Mebius
Written by Casper Mebius, Derek Muller and Will Wood
Edited by Trenton Oliver
Animated by Fabio Albertelli, Ivy Tello, Mike Radjabov, David Szakaly, Jonny Hyman, and Alessandro Roussel
Illustrated by Jakub Misiek
Filmed by Derek Muller
Additional research by Gregor Čavlović
Produced by Casper Mebius, Derek Muller, Will Wood, Giovanna Utichi, Rob Beasley Spence, Gregor Čavlović, and Emily Taylor

Thumbnail contributions by Jakub Misiek, Ren Hurley and Peter Sheppard
Additional video/photos supplied by Getty Images, Storyblocks, and NASA SVS
Music from Epidemic Sound

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➡️ About Post Graduate 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.

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- Post Graduate Program certificate and Alumni Association membership
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- Resume preparation and LinkedIn profile building
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Edureka's Business Analyst Course Certification : https://www.edureka.co/masters....-program/business-an
In this video on Excel Tutorials for Beginners, you'll learn the fundamentals of working with Microsoft Excel. It covers the Excel interface, allowing you to get familiar with the ribbon, worksheets, and cells. Data entry techniques like typing values directly and using the AutoFill feature for repetitive data are demonstrated. The video guides you through basic calculations using formulas and functions for addition, subtraction, multiplication, and division. Formatting is also covered, showing you ways to enhance your data's appearance by changing font styles, colors, and number formats. Additionally, you'll learn how to transform your data into visuals like charts and graphs for better analysis and presentation. By the end, you'll have a solid understanding of essential Excel skills for organizing, calculating, and presenting data effectively, making it an ideal resource for Excel beginners.

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In this video, we go over how you can fine-tune Llama 3.1 and run it locally on your machine using Ollama! We use the open source repository "Unsloth" to do all of the fine tuning on an SQL dataset!

Throughout this video, we discuss the ins and outs of what fine-tuning an LLM is, how you can work with your data so that the LLM can process it and then importing it into Ollama for you to run locally on your machine!

Ollama is available on all platforms!

Dataset used: https://huggingface.co/dataset....s/gretelai/synthetic
Ollama: https://github.com/ollama/ollama
Unsloth: https://github.com/unslothai/unsloth

Make sure you follow for more content!
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TIMESTAMPS
0:00 Intro
0:10 Getting the dataset
0:45 The Tech Stack
1:18 Installing Dependencies
1:48 Fast Language Model Explained
2:35 LORA Adaptes Explained
3:02 Converting your data to fine-tune
3:36 Training the Model....
4:01 Converting to Ollama compatibility
4:11 Creating a Modelfile for Ollama
4:50 Final Output!
5:01 Check out Ollama in 2 minutes!

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This "Data engineer roadmap" Video By Simplilearn is a guide that outlines the essential skills and knowledge needed to become a successful data engineer. This tutorial covers a range of topics, starting with core concepts such as databases, SQL, and data modeling. From there, it progresses to data integration and ETL processes, including batch processing and real-time data pipelines. The roadmap also includes learning about distributed systems and technologies like Apache Hadoop and Apache Spark, as well as cloud platforms like AWS, Azure, and GCP. Overall, the data engineer roadmap provides a comprehensive path for acquiring the necessary expertise in data engineering. By following this roadmap, aspiring or experienced data engineers can develop the skills needed to design, construct, and maintain data infrastructure and systems, and contribute to building robust and scalable data solutions.

Below are Following Topics Covered in this Video:

00:00 Introduction to Data Engineer Roadmap
02:15 What is Data Engineering?
02:34 Why Pursue A Career in Data Engineering?
04:09 What does a Data Engineer do?
06:04 Data Engineer Skillset
08:13 Salary and Job Prospects
09:15 Comprehensive Roadmap to become a Data Engineer

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✅ About Post Graduate Program In Data Engineering
Fast-track your career as a Data Engineering professional with our Data Engineering course. This course covers Big Data and Data Engineering concepts, the Hadoop ecosystem, Apache Python basics, AWS EMR, Quicksight, Sagemaker, the AWS cloud platform, and Azure services.

✅ Skills Covered
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I put three systems to the local LLM test.

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* 🤯 Cheap mini runs a 70B LLM - https://youtu.be/xyKEQjUzfAk
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📱 ALEX ON X: https://twitter.com/digitalix

#machinelearning #llm #softwaredevelopment

🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐜𝐞 𝐰𝐢𝐭𝐡 𝐏𝐲𝐭𝐡𝐨𝐧 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐂𝐨𝐮𝐫𝐬𝐞 : https://www.edureka.co/data-sc....ience-python-certifi (𝐔𝐬𝐞 𝐂𝐨𝐝𝐞: 𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎)
This Edureka video on R vs Python provides you with a short and crisp description of the top two languages used in Data Science and Data Analytics i.e. Python and R (Blog:http://bit.ly/2ClaowR). You will also see the head-to-head comparison between the two on various parameters and learn why one is preferred over the other in certain aspects.

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

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🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐑𝐨𝐥𝐞-𝐁𝐚𝐬𝐞𝐝 𝐂𝐨𝐮𝐫𝐬𝐞𝐬

🔵 DevOps Engineer Masters Program: http://bit.ly/3Oud9PC
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🌕 Python Developer Masters Program: https://bit.ly/3EV6kDv
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🔴 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

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


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