It's the Github Copilot that you have at home ;) GPyT is a GPT style model that is trained from publicly accessible code on Github. You can get the model from here: https://huggingface.co/Sentdex/GPyT

Code samples used in the video: https://pythonprogramming.net/....GPT-python-code-tran

Neural Networks from Scratch book: https://nnfs.io
Channel membership: https://www.youtube.com/channe....l/UCfzlCWGWYyIQ0aLC5
Discord: https://discord.gg/sentdex
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Used Song! 🎵

SONG - Tujh Mein Rab Dikhta Hai
ARTIST - Roop Kumar Rathod

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This video on "Coin vs Token" covers all the differences between Crypto Coin and Crypto Token in detail. This "Coin vs Token Explained" video will help you understand the individuality of Cryptocurrencies and Crypto Tokens in the Crypto Market and how they function differently from each other on the Blockchain Network. This video will also give you a gist of the usage, supply, and performances of these individuals. At, the end of this video on "Coin vs Token", all your doubts will be cleared about how Cryptocurrency and Crypto tokens differ from each other.

00:00 Coin vs Token
00:45 What Is Digital Asset?
01:35 Difference between the Definition of Crypto Coin and Crypto Token
02:30 Difference between the Supply of Crypto Coin and Crypto Token
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04:29 Difference between the Types of Crypto Coin and Crypto Token

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Cryptocurrencies have their own unique blockchain. BTC is the currency used in the Bitcoin blockchain. Ethereum has ETH on its blockchain.

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Crypto Tokens are created utilizing blockchain technology, unlike cryptocurrency currencies, crypto tokens are not native to a blockchain, unlike cryptocurrency currencies.

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In most cases, cryptocurrencies are either mined using a proof of work (PoW) or a proof of stake (PoS) consensus mechanism. Crypto Tokens, unlike cryptocurrencies, are generated and distributed by the project developer rather than being mined. Tokens can be utilized in a plethora of ways once they are in the possession of buyers.

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This DevOps tutorial video will help you understand what is DevOps, how DevOps came to being, stages and tools of DevOps and implementation of DevOps. DevOps is a software engineering culture that unifies the development and operations team, under an umbrella of tools to automate every stage. The DevOps approach automates the service management for the support of operational objectives and improves understanding of the layers in the production environment stack. In turn, this helps prevent and resolve production issues. Now, lets deep dive into this video and understand what is DevOps actually, DevOps tools and the stages involved in DevOps.

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1. What is DevOps?
2. DevOps Stages
3. DevOps Tools
4. Quiz - ( 02:56 )

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For more information about Stanford’s Artificial Intelligence professional and graduate programs, visit: https://stanford.io/30l2Kkw

Professor Christopher Manning, Stanford University
http://onlinehub.stanford.edu/

Professor Christopher Manning
Thomas M. Siebel Professor in Machine Learning, Professor of Linguistics and of Computer Science
Director, Stanford Artificial Intelligence Laboratory (SAIL)

To follow along with the course schedule and syllabus, visit: http://web.stanford.edu/class/....cs224n/index.html#sc

0:00 Introduction
0:23 Announcements
2:00 What is Coreference Resolution?
12:04 Applications
16:40 Coreference Resolution in Two Steps
19:39 Mention Detection: Not so Simple
22:19 Can we avoid a pipelined system?
23:39 4. On to Coreference! First, some linguistics
26:11 Anaphora vs Coreference
27:59 Anaphora vs. Coreference
29:24 Anaphora vs. Cataphora
32:33 Four kinds of Coreference Models
34:43 Hobbs Algorithm Example
40:07 Knowledge-based Pronominal Coreference
45:01 Hobbs' algorithm: commentary
46:06 Coreference Models: Mention Pair
47:33 Mention Pair Training
48:05 Mention Pair Test Time
52:01 7. Coreference Models: Mention Ranking
54:57 Coreference Models: Training
56:05 Mention Ranking Models: Test Time
56:49 A. Non-Neural Coref Model: Features

Learn how to get started with the OpenAI API and GPT-3 in this Python Beginner tutorial.

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OpenAI is known for the creation of the GPT-3 model, a powerful deep learning model capable of producing human-like text.

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Docs: https://beta.openai.com/docs/
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Timestamps:
00:00 Introduction
00:44 Pricing and Docs
01:34 Python Setup
04:00 Engine
04:42 Completion Endpoint
07:40 Playground
10:57 Classification Endpoint
14:00 Search Endpoint
16:10 Question answering Endpoint
18:57 AssemblyAI + OpenAI Virtual Assistant

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Build a simple yet powerful chatbot with GPT-3 for free in 5 minutes with only 20 lines of code.

===LINKS===
In-depth blog tutorial: https://medium.com/@techieray/....build-a-basic-gpt-3-

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ChatGPT, an extraordinary creation of artificial intelligence. Born from the brilliance of OpenAI's GPT-3.5 architecture, ChatGPT is designed to engage, educate, and entertain. With a vast expanse of knowledge and the ability to adapt to individual preferences, ChatGPT is here to provide valuable insights, answer questions, and spark captivating conversations. From exploring various subjects to assisting with creative endeavors, ChatGPT is ready to embark on a journey of discovery with you. Whether you are a marketing expert, cybersecurity expert, a developer or a blogger, ChatGPT is all you need!
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If you're an absolute beginner in web development, you can learn the basics of HTML here. This video covers setting up an HTML file, and the basic HTML tags and what they mean.

Download the website files to follow along with this tutorial:
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Read the blog post version here:
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In this ChatGPT Course for beginners, we'll cover ChatGPT, GPT-4, and how ChatGPT works. We'll also explore its applications in various domains, including SEO and digital marketing, and share valuable tips and tricks.

00:00 ChatGPT Course For Beginners 2024
01:15 GPT 4
07:17 Automate Excel using ChatGPT
01:17:45 How To Use ChatGPT for SEO
02:09:20 ChatGPT For Content Creation
02:14:04 Master SEO Content with ChatGPT
02:25:11 ChatGPT For Marketing
02:33:58 How To Use ChatGPT to Build Website
03:17:00 ChatGPT For Programming
03:26:02 Can ChatGPT Solve LeetCode Problems?
04:54:23 How To Integrate ChatGPT With Whatsapp
05:32:19 Build a Game using Python and ChatGPT
05:47:32 ChatGPT in Cybersecurity

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⏩ Check out the Artificial Intelligence training videos: https://youtube.com/playlist?list=PLEiEAq2VkUULyr_ftxpHB6DumOq1Zz2hq&si=mXde10M1AfkzYSMd

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This AI ML course is designed to enhance your career in AI and ML by demystifying concepts like machine learning, deep learning, NLP, computer vision, reinforcement learning, and more. You'll also have access to 4 live sessions, led by industry experts, covering the latest advancements in AI such as generative modeling, ChatGPT, OpenAI, and chatbots.

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Welcome back to US Military Power Channel, today's episode we will uncover "The US Army's New Super Robo-Dog With Sniper Rifle".

============================================
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Поддержать проект можно по ссылкам:
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Специалисты считают, что уже в пределах пятнадцати лет для квантового компьютера не составит труда расшифровать наши пароли и даже данные банковских карт. Дерек Маллер решил узнать, обречены мы или нет. Оказывается, способ защитить данные уже придумали — и всё благодаря решёткам и векторам. Подробности ищите в видео.

Перевод: Елена Смотрова
Редактура: Алексей Малов
Научная редактура: Кирилл Циберкин, Елена Иконникова
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Озвучки Vert Dider выходят с вашей помощью:

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Ламинарное течение, безусловно, красивый феномен. Обязательно поищите ролики на YouTube, если вы его ещё не видели. Один из больших поклонников этого явления — Дестин Сэндлин с канала Smarter Every Day, но Дерек Маллер с канала Veritasium не разделяет его восторженных взглядов и готов доказать, что турбулентное течение круче.

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00:00:50 ChatGPT for Writing Code
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00:03:37 ChatGPT for Content Writing
00:05:03 ChatGPT for SEO
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00:45:55 Top 10 Technologies To Learn
00:52:37 Artificial Intelligence Careers Tutorial
01:04:31 How Create And Sell Digital Products Using AI
01:05:16 What Is Generative AI
01:15:48 Artificial Intelligence Engineer Roadmap
01:30:53 How To Get A Job In Artificial Intelligence
02:27:30 What Is Machine Learning
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02:38:53 Open AI Strawberry
02:45:04 Difference between Artificial Intelligence, Machine Learning, And Deep Learning
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11:01:07 Build Website With Artificial Intelligence
11:19:18 Confusion Matrix In Machine Learning
11:27:32 Top Hackathons In india
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✅Subscribe to our Channel to learn more about the top Technologies: https://www.youtube.com/user/Simplilearn

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MIT 18.642 Topics in Mathematics with Applications in Finance, Fall 2024
Instructor: Peter Kempthorne
View the complete course: https://ocw.mit.edu/courses/18....-642-topics-in-mathe
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The lecture introduces linear algebra with a focus on its applications in quantitative finance, covering vector and matrix fundamentals, portfolio valuation, and concepts like short selling, arbitrage, and contingent claims. It further explores stochastic matrices and Markov chains, eigenvalues and eigenvectors, and their roles in modeling financial markets, culminating in discussions on no-arbitrage conditions, market completeness, and pricing measures essential for option pricing theory.

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