It seems like more and more applications and machines are getting on the image recognition train. It's a cool feature to have because it can assist society in many ways, such as boosting productivity and safety if we're dealing with automated vehicles.

Today on Feed My Curiosity, we look at how image recognition works. How does a machine learn what something looks like? Watch to find out!

Our Networks:
Website - https://www.feedmycuriosity.net/
Reddit - https://www.reddit.com/r/FeedMyCuriosity/
Article - https://www.feedmycuriosity.net/2021/06/26/deep-learning-ai-how-image-recognition-works/

Ms. Coffee Bean appears with the definitive introduction to Graph Neural Networks! Or short: GNNs. Because graphs are everywhere (almost).

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🔥 Optionally, pay us a coffee to boost our Coffee Bean production! ☕
Patreon: https://www.patreon.com/AICoffeeBreak
Ko-fi: https://ko-fi.com/aicoffeebreak
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Outline:
* 00:00 Graphs are everywhere!
* 02:32 GNNs explained
* 07:25 GNNs applications

🔗 Links:
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Twitter: https://twitter.com/AICoffeeBreak
Reddit: https://www.reddit.com/r/AICoffeeBreak/

#AICoffeeBreak #MsCoffeeBean #GCN

Why didn't OpenAI release their "Unicorn" GPT2 large transformer? Rob Miles suggests why it might not just be a a PR stunt.

Unicorn AI: https://youtu.be/89A4jGvaaKk
Unicorn AI (More Examples): https://youtu.be/p-6F4rhRYLQ
Generative Adversarial Networks (GANs): https://www.youtube.com/watch?v=5oXyibEgJr0

More from Rob Miles: http://bit.ly/Rob_Miles_YouTube

Thanks to Nottingham Hackspace for providing the filming location: http://bit.ly/notthack

https://www.facebook.com/computerphile
https://twitter.com/computer_phile

This video was filmed and edited by Sean Riley.

Computer Science at the University of Nottingham: https://bit.ly/nottscomputer

Computerphile is a sister project to Brady Haran's Numberphile. More at http://www.bradyharan.com

Apna Bana Le Video Song 4k 60fps- Bhediya | Varun Dhawan, Kriti Sanon, Arijit Singh & Sachin-Jigar

Apna Bana Le Lyrics:
Tu Mera Koyi Na
Hoke Bhi Kuchh Laage
Tu Mera Koyi Na
Hoke Bhi Kuchh Laage

Kiya Re Jo Bhi Toone
Kaise Kiya Re
Jiya Ko Mere Baandh
Aise Liya Re

Samajh Ke Bhi Na
Samajh Main Sakun

Saweron Ka Bhi Mere
Tu Sooraj Laage
Tu Mera Koyi Na
Hoke Bhi Kuchh Laage

Tu Mera Koyi Na
Hoke Bhi Kuchh Laage
Tu Mera Koyi Na
Hoke Bhi Kuchh Laage

Apna Bana Le Piya
Apna Bana Le Piya
Apna Bana Le Mujhe
Apna Bana Le Piya

Apna Bana Le Piya
Apna Bana Le Piya
Dil Ke Nagar Mein
Shehar Tu Basa Le Piya

Chhoone Se Tere
Haan Tere Haan Tere
Feeki Ruton Ko Rang Lage

Hmm.. Chhoone Se Tere
Haan Tere Haan Tere
Feeki Ruton Ko Rang Lage

Teri Disha Mein Kyun Chalne Se Mere
Pairon Ko Pankh Lage
Raha Na Mere Kaam Ka Jag Saara
Haan Bas Tere Naam Se Hi Guzaara

Ulajh Ke Yoon Na
Sulajh Na Sakun

Zubaaniyan Teri
Jhoothi Bhi Sach Laage
Tu Mera Koyi Na
Hoke Bhi Kuchh Laage

Tu Mera Koyi Na
Hoke Bhi Kuchh Laage
Tu Mera Koyi Na
Hoke Bhi Kuchh Laage

Apna Bana Le Piya
Apna Bana Le Piya
Apna Bana Le Mujhe
Apna Bana Le Piya

Apna Bana Le Piya
Apna Bana Le Piya
Dil Ke Nagar Mein
Shehar Tu Basa Le Piya

Ho Sab Kuchh Mera Chahe
Naam Apne Likha Le
Badle Mein Itni Toh
Yaari Nibha Le

Jag Ki Hirasat Se
Mujhko Chhuda Le
Apna Bana Le
Bas Apna Bana Le

Apna Bana Le
Apna Bana Le

#4ksong #4kVideoSong #60fpsVideoSong #4k #60fps

⁣Fairytale Music | Relaxing music, Sleep music, Guitar music, Piano music #musicvideo

Welcome to our channel dedicated to providing its viewers with calming and relaxing music! In a world filled with stress and chaos, taking a moment to unwind and find peace is essential for both physical and mental well-being.

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🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐏𝐲𝐭𝐡𝐨𝐧 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐂𝐨𝐮𝐫𝐬𝐞 : https://www.edureka.co/python-....programming-certific (Use code "𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎")
This Edureka video on Regular Expressions in Python will help you understand the various fundamental concepts in Python and how they are used in Python programming along with examples.

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🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬

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NIT Warangal: http://bit.ly/3OuZ3xs

📢📢 𝐓𝐨𝐩 𝟏𝟎 𝐓𝐫𝐞𝐧𝐝𝐢𝐧𝐠 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 𝐭𝐨 𝐋𝐞𝐚𝐫𝐧 𝐢𝐧 2023 𝐒𝐞𝐫𝐢𝐞𝐬 📢📢
⏩ NEW Top 10 Technologies To Learn In 2023 - https://youtu.be/udD_GQVDt5g

📌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/



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

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

A Database is a collection of data. With the help of Database Management Systems, this data can be updated, retrieved, or deleted. In this video on Introduction to DBMS, we learn about what is a database, what really is a database management system and how it replaced the flat file system, then we will go through the components of DBMS and their applications and will have a look at the popular database management systems.

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⏩ Check out the MongoDB Tutorial videos: https://www.youtube.com/watch?v=l1XRggQQ3NM&list=PLEiEAq2VkUUKCD-GZCDsqqNmFyz3mNUv5

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🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐉𝐚𝐯𝐚 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠: https://www.edureka.co/java-j2....ee-training-course(U code "𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎")
This Edureka Live video on "Java Programs " will talk about the various programs that will give a head start to beginners with Java Fundamentals. Below programs in this video

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🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬

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

🌕 Artificial and Machine Learning PGD with E&ICT Academy
NIT Warangal: http://bit.ly/3OuZ3xs

📢📢 𝐓𝐨𝐩 𝟏𝟎 𝐓𝐫𝐞𝐧𝐝𝐢𝐧𝐠 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 𝐭𝐨 𝐋𝐞𝐚𝐫𝐧 𝐢𝐧 2023 𝐒𝐞𝐫𝐢𝐞𝐬 📢📢
⏩ NEW Top 10 Technologies To Learn In 2023 - https://youtu.be/udD_GQVDt5g

📌𝐓𝐞𝐥𝐞𝐠𝐫𝐚𝐦: https://t.me/edurekaupdates
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📌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/



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

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

🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐊𝐮𝐛𝐞𝐫𝐧𝐞𝐭𝐞𝐬 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 : https://www.edureka.co/kubernetes-certification (Use code "𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎")
This Edureka 𝐊𝐮𝐛𝐞𝐫𝐧𝐞𝐭𝐞𝐬 𝐌𝐨𝐧𝐢𝐭𝐨𝐫𝐢𝐧𝐠 𝐰𝐢𝐭𝐡 𝐏𝐫𝐨𝐦𝐞𝐭𝐡𝐞𝐮𝐬 𝐚𝐧𝐝 𝐆𝐫𝐚𝐟𝐚𝐧𝐚 video will help you understand what is Prometheus and Grafana and how to deploy them in a Kubernetes Cluster. We will also discuss Helm and how to install it on Linux with a demonstration. Below are the topics covered in this Kubernetes Monitoring with Prometheus and Grafana video:
00:00:00 Introduction
00:01:34 Why use Prometheus?
00:07:23 What is Grafana?
00:09:31 Kubernetes Monitoring Architecture
00:11:38 Introduction to Helm
00:12:56 Installation of Tools & Deploy Prometheus and Grafana
00:31:50 Challenges of Kubernetes

🔴 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
🌕 Azure Online Training: http://bit.ly/3i4P85F
🔵 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
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In this video series I am going to go through the exercises in the Freecodecamp's curriculum, for JavaScript Algorithms and Data Structures:
https://bit.ly/3hCCTbW

Here is my code on Github:
https://github.com/aksonai/fre....ecodecamp/tree/maste

Freecodecamp: https://www.freecodecamp.org/l....earn/javascript-algo

🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚'𝐬 𝐂𝐈𝐒𝐒𝐏 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠(Use Code "𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎"): www.edureka.co/cissp-certification-training-course
Welcome to this informative video on CISSP Exam Preparation, designed to help you in your journey toward becoming a Certified Information Systems Security Professional.

In this Edureka video, we will explore everything you need to know about the CISSP exam, including the exam format, study resources, and tips for success. We will also share some insights from experienced professionals who have successfully passed the exam. So sit back, relax!

Introduction to CISSP Exam Preparation
Why should we opt for CISSP Certification?
Eligibility Criteria for CISSP Exam
Understanding the CISSP Exam Format
Tips for Effective CISSP Exam Preparation


🔷 What is CISSP? - Certified Information Systems Security Professional
CISSP (Certified Information Systems Security Professional) is one of the most prestigious and sought-after certifications in the field of cybersecurity. The exam covers eight domains that are critical to the security of information systems, including security and risk management, asset security, security engineering, communications and network security, identity and access management, security assessment and testing, security operations, and software development security.

Preparing for the CISSP exam can be a daunting task, but with the right approach, it can be an enriching experience that will help you develop your skills and knowledge in the field of cybersecurity.



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In this video on the cybersecurity roadmap 2023, we cover the skills necessary for a budding cybersecurity analyst. This is a detailed explainer of how to become a cybersecurity expert, with recommendations on courses to complete and techniques to learn. Topics like Linux, networking, and scripting are also talked about in our 'cybersecurity roadmap 2023'.

00:00 Cybersecurity Roadmap 2023
00:48 Basic Computer Skills
01:07 Networking Skills
01:34 Linux OS
02:00 Programming/Scripting Knowledge
02:15 Basic Hacking concepts
02:32 TryHackMe/HackTheBox Lab Practice
02:49 Professional Cybersecurity certifications (OSCP/PNPT)

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The importance of cybersecurity cannot be understated in today's market, where almost all business passes through the internet in some capacity or more. So, needless to say, trained cybersecurity professionals are very high in demand, which led Simplilearn to curate free SkillUp courses that beginners in this domain can take up and get started. Completely self-paced and designed for job placement, there are a variety of courses in cybersecurity that can help you take the next step in your career. In this video, we will provide a cybersecurity roadmap for 2023.

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This video on Project Management Professional covers all the concepts from basics to advanced. Also, it covers all the information about Project Management like what Project Management is ?, what is A Project ?, what are the Components of Project Management ?, What is A Project Life Cycle ?, and what are the Key Focus Areas in Project Management?

These are the facts we will be discussing in this video:
00:00 Introduction
01:34 What is Project Management?
02:38 What is A Project?
03:15 Components of Project Management
05:14 What is A Project Life Cycle?
09:10 Key Focus Areas in Project Management

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The PMP certification is the global gold standard for project management professionals. Keep abreast of the changes in the project management practices updated in the PMBOK guide - 6th edition and pass the PMP® exam on your first attempt with Simplilearn’s new PMP course. The course covers new trends, emerging practices, and tailoring considerations, and places a greater emphasis on strategic and business knowledge. It also includes a new section on the role of the project manager.

PMP Certification Course Overview
The course covers new trends, emerging practices, tailoring considerations, and core competencies required of a Project Management professional. Placing a greater emphasis on strategic and business knowledge, this course also includes a new section on the role of the project manager in both large and small companies.

PMP Course Key Features:
- 35 contact hours/PDUs
- 8 industry case studies, 20 industry-based scenarios
- 6 hands-on projects, 7 simulation test papers (200 questions each)

Eligibility:
The PMP® certification is an essential professional requirement for senior project manager roles across all industries. The course is best suited for: Project Managers, Associate/Assistant Project Managers, Team Leads/Team Managers, Project Executives/Project Engineers, Software Developers, and Any professional aspiring to be a Project Manager.

Pre-requisites:
You should have a secondary degree (i.e. high school diploma, associate’s degree, or the global equivalent) with 7,500 hours of leading and directing projects along with 35 hours of project management education. OR You should have a four-year degree with 4,500 hours of leading and directing projects along with 35 hours of project management education.

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In this video on Machine Learning with Python full course, you will understand the basics of machine learning, essential applications of machine learning, machine learning concepts and understand why mathematics, statistics, and linear algebra are crucial. We'll also learn about regularization, dimensionality reduction, PCA. We will perform a prediction analysis on the recently held US Elections. Finally, you will study the Machine Learning roadmap for 2021?

00:00:00 Machine Learning Basics
00:08:45 Top 10 applications of machine learning
00:13:40 Machine Learning Tutorial Part-1
0:14:26 Why Machine Learning
0:18:33 What is Machine Learning
0:25:15 Types of Machine Learning
0:25:27 Supervised Learning
0:27:47 Reinforcement Learning
0:29:07 Supervised vs Unsupervised Learning
0:39:23 Decision Trees
01:15:10 Machine Learning Tutorial Part-2
01:19:47 K-Means Algorithm
02:10:47 Mathematics for Machine Learning
2:11:15 What is Data?
02:12:07 Quantitative/Categorical Data
02:14:54 Qualitative/Categorical Data
02:15:12 Linear Algebra
02:38:01 Calculus
02:52:21 Statistics
03:05:16 Demo on Statistics
03:22:27 Probability
03:48:09 Demo on Naive Bayes
04:01:00 Linear Regression Analysis
04:20:37 Logistic Regression
04:38:35 Confusion Matrix
04:58:31 Decision Tree in Machine Learning
05:20:30 Random Forest
05:50:29 K Nearest Neighbors
06:16:56 Support Vector Machine
06:35:57 Regularization in ML
07:05:03 PCA
07:35:16 US Election Prediction
08:03:49 Machine Learning roadmap 2021

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Dataset Link - https://drive.google.com/drive..../folders/15lSrc4176J

About Machine Learning Certification Course:
Explore this Machine Learning certification course to understand cutting-edge concepts in machine learning, an exciting branch of Artificial Intelligence. This Machine Learning online training will provide you the skills needed to become a successful Machine Learning Engineer today.

Machine Learning Course Overview:
This Machine Learning course offers an in-depth overview of Machine Learning topics including working with real-time data, developing algorithms using supervised & unsupervised learning, regression, classification, and time series modeling.

Machine Learning Training Key Features:
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The Machine Learning market is expected to reach USD $8.81 Billion by 2022, at a growth rate of 44.1-percent, indicating the increased adoption of Machine Learning among companies. By 2020, the demand for Machine Learning engineers is expected to grow by 60-percent.

Eligibility of Machine Learning Course:
The Machine Learning certification online course is well-suited for participants at the intermediate level including, analytics managers, business analysts, information architects, developers looking to become data scientists, and graduates seeking a career in Data Science and Machine Learning.

Pre-requisites of Machine Learning Course:
This Machine Learning course requires an understanding of basic statistics and mathematics at the college level. Familiarity with Python programming is also beneficial. You should understand these fundamental courses including Python for Data Science, Math Refresher, and Statistics Essential for Data Science, before getting into the Machine Learning online course.

How do I become a Machine Learning Engineer?
This course will give you a complete overview of Machine Learning methodologies, enough to prepare you to excel in your next role as a Machine Learning Engineer. You will earn Simplilearn’s Machine Learning certification that will attest to your new skills and on-the-job expertise.

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This video will give you an introduction to the Salesforce CRM and talk tell you how & why Salesforce has emerged as one of the leading cloud computing companies today.
This video covers the following topics:
00:00:00 introduction
00:00:35 Agenda
00:01:06 What is Cloud computing
00:02:38 What is Salesforce
00:05:28 Benefits of cloud computing & Salesforce
00:08:35 Working of salesforce
00:25:57 Hands on

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Hi, thanks for watching our video about training large language models on PyTorch 2.0
In this video we’ll walk you through:
- GPT4
- GPU
- Multimodal
- LLM
- Model Training
- Model Parallelism
- Distributed Data Parallel DDP
- Deep Learning
- ChatGPT
- palm-e Models
- VALLE
- GOOGLE LAMDA
Mode Parallel, Gradient Accumulation, Data Parallel with PyTorch, Larger Batches

The PyTorch Distributed Stack is a set of PyTorch features that facilitate training models in distributed systems. PyTorch has introduced multiple new features in the distributed package to help support larger scale and higher efficiency for both data and model parallel. In this talk, Yanli Zhao (Software Engineer, Meta AI) shares tips on how to reduce memory footprint, fit larger models and achieve significant speedup with distributed systems with features like Zero Redundancy Optimizer, DistributedDataParallel, FullyShardedDataParallel, CUDA RDMA and ShardedTensor.

OpenAI has officially announced GPT-4 the latest version of its incredibly popular large language model powering artificial intelligence (AI) chatbots. ChatGPT is an AI chatbot that utilizes the language models of GPT-3 and GPT-4 for interactive communication. In other words you can use chatgpt with gpt4. A Generative Pre-Trained Transformer (GPT) is a sophisticated neural network architecture used to train large language models (LLMs). It makes use of large amounts of publicly available Internet text to simulate human communication.

Main improvements:
* It's multimodal (what it is is in video)
* Longer context length
* Better performance
* More safer

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Google PALM,
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Machine learning,
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Ray,Ray Tune,Hyperparameter optimization,machine learning,mlflow,open-source

TIMESTAMPS
0:00 Intro
0:55 PyTorch
1:25 Autograd
2:35 PyTorch Distributed
3:10 Types of Parallelization
5:20 DDP
6:38 FSDP
7:48 Fairscale
8:55 PyTorch Lightning
10:30 Model Parallel
11:48 Sagemaker Training



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LINKS/Sources USED:
PyTorch Distributed : https://www.youtube.com/watch?v=3XUG7cjte2U
YC: https://www.youtube.com/watch?v=hQC5O3WTmuo
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#artificialintelligence #gpt4 #chatgpt #Lamda #google #ai #machinelearning #dalle2 #gpt3 #gpt4 #futuretech #futureishere #technology #languagemodels #BIRT #ai #GPT4 #OpenAI #FreeAccess #ArtificialIntelligence #Tutorial

Fine-tuning GPT-3.
In this video we demonstrate how to use APIs and audio to create prompts and completions that can be used to fine-tune Transformers such as GPT-3. We show how to use a News API with Python to extract news articles and create a dataset for training and fine-tuning models.

We explain what prompt and completion datasets are, and the role they play in natural language processing in fine-tuning transformers. We then discuss using video and audio streams to build data pipelines for fine-tuning and transcribing speech to text using OpenAI's Whisper.

With over 500 hours of YouTube videos being uploaded every minute video is a rich source of detailed information with which to train AI.

The video first includes step-by-step demonstrations of using the News API to create a prompt and completion dataset and then shows how to build pipelines transcribing speech to text using Whisper.

Foundation models like GPT-3 can be 'Fine-Tuned'. This Fine_tuning allows them to learn the vocabulary and semantics of particular disciplines. If you want your AI solution to be familiar with options pricing algorithms, then you can show it lots of options pricing papers. If you'd like your AI to be able to converse and write about monetary policy then you can expose it to policy papers, books on economic theory, central bank meeting minutes and news conferences.

You train transformer AI models in a particular way. You don't simply feed in a file containing the text of the book or article that you are using to train the AI. You break the text up into a series of "Prompts" and "Completions". Prompts are the beginning of a passage of text and completions are what follow a prompt.

In this post we leverage the breadth and depth of content on YouTube. We propose a strategy to use selected videos to train our AI language models. These videos are chosen because they are rich in expertise in an area we want to train our language model in. The example used in this video is to train our AI in monetary policy by studying content generated by the Federal Reserve. We devise a strategy to use speech to text transcription of YouTube videos. We use OpenAI's 'Whisper' to perform this transcription. We then break this text up into 'prompts' and completions to train our model.

Following this approach we can easily train our NLP models to have expertise in any field we choose.



#NLP #Python #FineTuning #AI #MachineLearning #NewsAPI #Whisper #Lucidate #chatgpt #gpt3 #gpt-3 #openai #whisper #openai-whisper

Links:
Attention Mechanism in Transformers: https://youtu.be/sznZ78HquPc Transformer playlist: https://youtube.com/playlist?l....ist=PLaJCKi8Nk1hwaMU
Federal reserve Description: https://youtu.be/lJTmCv2kKKs
FOMC Feb 2023 Press Conference: https://www.youtube.com/watch?v=3Iv4aCN0OOo&t=2s
Python code for Transcriber class: https://github.com/mrspiggot/p....rompts_and_completio

=========================================================================
Link to introductory series on Neural networks:
Lucidate website: https://www.lucidate.co.uk/blog/categ...

YouTube: https://www.youtube.com/playlist?list...

Link to intro video on 'Backpropagation':
Lucidate website: https://www.lucidate.co.uk/post/intro...

YouTube: https://youtu.be/8UZgTNxuKzY

'Attention is all you need' paper - https://arxiv.org/pdf/1706.03762.pdf

=========================================================================
Transformers are a type of artificial intelligence (AI) used for natural language processing (NLP) tasks, such as translation and summarisation. They were introduced in 2017 by Google researchers, who sought to address the limitations of recurrent neural networks (RNNs), which had traditionally been used for NLP tasks. RNNs had difficulty parallelizing, and tended to suffer from the vanishing/exploding gradient problem, making it difficult to train them with long input sequences.

Transformers address these limitations by using self-attention, a mechanism which allows the model to selectively choose which parts of the input to pay attention to. This makes the model much easier to parallelize and eliminates the vanishing/exploding gradient problem.

Self-attention works by weighting the importance of different parts of the input, allowing the AI to focus on the most relevant information and better handle input sequences of varying lengths. This is accomplished through three matrices: Query (Q), Key (K) and Value (V). The Query matrix can be interpreted as the word for which attention is being calculated, while the Key matrix can be interpreted as the word to which attention is paid. The eigenvalues and eigenvectors of these matrices tend to be similar, and the product of these two matrices gives the attention score.

=========================================================================

#ai #deeplearning #chatgpt #gpt3 #neuralnetworks #attention #attentionisallyouneed

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