Telegram Web
๐ŸŒŸ Megatron-Core - PyTorch library for training Transformers

docker run --ipc=host --shm-size=512m --gpus all -it nvcr.io/nvidia/pytorch:24.02-py3

pip install megatron_core
pip install tensorstore==0.1.45
pip install zarr


Megatron-Core is a self-contained, lightweight PyTorch library that contains everything you need to train Transformers.
Offers a large collection of GPU techniques for optimizing memory and calculations, uses a lot of developments from Megatron-LM and Transformer Engine.

Megatron-Core provides flexibility for developers and makes it easy to develop their own LLM framework on NVIDIA computing infrastructure.

๐Ÿ–ฅ GitHub
๐ŸŸก Docks

โœ…๏ธ http://www.tgoop.com/codeprogrammer โœ…๏ธ
Please open Telegram to view this post
VIEW IN TELEGRAM
Please open Telegram to view this post
VIEW IN TELEGRAM
This media is not supported in your browser
VIEW IN TELEGRAM
๐Ÿงฐ A comprehensive toolbox of data scientists
โœ… Access to 500+ TB of data science content

๐Ÿ–ฅ The Data Scientist Toolkit is the result of my five-year effort in the field of data science, which is an extremely comprehensive and extensive resource for those who want to become a professional data scientist. So don't miss this source

โš™๏ธ This toolbox includes the following sections:

๐Ÿ“š Access to a wide bank of scientific files, training courses and professional resources in the field of data science.

๐Ÿ’ฏ More than a decade of applied data science theses in finance, medicine, logistics and security.

๐Ÿ› The latest data science courses from leading universities in the world such as Stanford, MIT and Berkeley.

๐Ÿš€ And over 300+ terabytes of data science courses for experienced data scientists.

โ”Œ
๐Ÿฑ GitHub Repository
โ””
โฉ The Data Scientist's Toolbox

๐ŸŒ http://www.tgoop.com/codeprogrammer โœ…๏ธ
Please open Telegram to view this post
VIEW IN TELEGRAM
This media is not supported in your browser
VIEW IN TELEGRAM
๐Ÿ“„ The best free courses to learn data science


โ”Œ ๐Ÿท CS229: Machine Learning
โ””
โœ…๏ธ LINK

โ”Œ
๐Ÿท MIT: Linear Algebra
โ””
โœ…๏ธ LINK

โ”Œ
๐Ÿท MIT: Introduction to Algorithms
โ””
โœ…๏ธ LINK

โ”Œ
๐Ÿท MIT: Applied Probability
โ””
โœ…๏ธ LINK

โ”Œ
๐Ÿท Stanford: Relational Databases & SQL
โ””
โœ…๏ธ LINK

๐ŸŒ http://www.tgoop.com/codeprogrammer โœ…๏ธ
Please open Telegram to view this post
VIEW IN TELEGRAM
A collection of completely free neural nets on hugginface

You can use them to do cool photo upscaling, remove backgrounds, edit images and more.

All the models are free and opensource here: huggingface.

๐ŸŒ http://www.tgoop.com/codeprogrammer โœ…๏ธ
Please open Telegram to view this post
VIEW IN TELEGRAM
๐Ÿ–ฅ Python Machine Learning Notebooks (Tutorial style)

๐Ÿ”— Link: https://machine-learning-with-python.readthedocs.io/en/latest/

๐ŸŒ http://www.tgoop.com/codeprogrammer โœ…๏ธ
Please open Telegram to view this post
VIEW IN TELEGRAM
๐Ÿค– Mistral has released a neural network that knows more than 80 programming languages. Codestral surpasses such giants as Llama-3 and CodeLlama, as well as... GPT-4o, and yet weighs three times less!

This model knows how to write and improve code, suggests the best solutions to problems and even knows design patterns. You can connect it to your projects via API or just use it in VS Code. For olds: the neural network even knows Fortran and COBOL.

Use it here or directly in your browser here.

#GPT4 #AI #PYTHON

๐ŸŒ http://www.tgoop.com/codeprogrammer โœ…๏ธ
Forwarded from ๐Ÿณ
This media is not supported in your browser
VIEW IN TELEGRAM
๐ŸณMeet @whale โ€“ your new go-to gaming platform, now available on Telegram!

There are many games on our licensed platform where you can make a big jackpot!

๐ŸŽOver 1000 games with impressive winning odds.
๐Ÿค‘Accepts BTC, USDT, TON, and CELO.
๐ŸŽUp to 20% cashback.
๐Ÿค‘Ongoing promotions and contests with valuable rewards.
๐ŸŽSportsbook with seamless betting, and the best odds that you could only imagine!

๐Ÿ’ŽFrom May 16, you can play and withdraw notcoin!

Forget about registration โ€“ play and cash out your prizes right from Telegram. โฌ†๏ธ

Join now and win big with @whale ๐Ÿฅฐ
Please open Telegram to view this post
VIEW IN TELEGRAM
Forwarded from ูEng. Hussein Sheikho
๐Ÿ” Join us for an in-depth exploration of GPT-4o, the latest advancement in OpenAIโ€™s language models.

โœ”๏ธ This event is designed to provide you with valuable insights and practical knowledge to enhance your AI skill.

In this session, we will guide you through:

1๏ธโƒฃ Introduction to GPT-4o.
2๏ธโƒฃ Utilizing GPT-4o with APIs.
3๏ธโƒฃ Exploring GPT-4o's Vision Capabilities.
4๏ธโƒฃ Building AI Applications with GPT-4o.


๐Ÿ˜€ Register Here for Free:
https://www.buildfastwithai.com/events/gpt-4o-deep-dive
Please open Telegram to view this post
VIEW IN TELEGRAM
Join the cutting-edge Web3xAI community with Assisterr! ๐ŸŒโœจ

๐Ÿ”† Assisterr supports specialized AI models. By leveraging Data Provenance Protocol and End-to-End infrastructure, it unlocks the value of aggregating human intelligence.

๐Ÿš€ Supporting 19 live integrations for platforms like Solana, NEAR, and Optimism. $100k ARR within 3 months of launch. 

๐Ÿ‘‰ Join Assisterr Telegram

Participate in Summer Campaign and win Unique NFTs to celebrate the progress of community members and $TON prizes.

https://tglink.io/e90cf7909b5c
๐Ÿš€ Top 10 YouTube Channels to Explore AI

Weโ€™ve carefully selected the best YouTube channels for diving deep into AI:

1. Sentdex: Python and machine learning tutorials.
2. Two Minute Papers: Quick AI research summaries.
3. Siraj Raval: Accessible AI education.
4. TensorFlow: Tutorials and demos on this open-source library.
5. Lex Fridman: Interviews with AI experts.
6. Matt Wolfe: AI news, reviews, and tutorials.
7. AI Explained: Simplifying complex AI concepts.
8. DeepLearning.AI: Courses by Andrew Ng.
9. Yannic Kilcher: Practical AI tutorials.
10. Data School: Data science and machine learning tutorials.

Check out these channels for more!

#AI #MACHINELEARNING #PYTHON

๐ŸŒ http://www.tgoop.com/codeprogrammer โœ…๏ธ
Please open Telegram to view this post
VIEW IN TELEGRAM
This media is not supported in your browser
VIEW IN TELEGRAM
๐ŸŽ Lisa has given away over $100,000 in the last 30 days. Every single one of her subscribers is making money.

She is a professional trader and broadcasts her way of making money trading on her channel EVERY subscriber she has helped, and she will help you.

๐Ÿง  Do this and she will help you earn :

1. Subscribe to her channel
2. Write โ€œGIFTโ€ to her private messages
3. Follow her channel and trade with her. Repeat transactions after her = earn a lot of money.

Subscribe ๐Ÿ‘‡๐Ÿป
https://www.tgoop.com/+XYNujpT_-Ns2OGI5
๐Ÿ–ฅ Python cheat sheet, which contains small scripts for solving everyday problems

By the way, here are some of them:

โœ”๏ธ add the sample.txt file to the .tar.gz archive:
import tarfile
with tarfile.open('sample.tar.gz', 'w:gz') as tar:
tar.add('sample.txt')


โœ”๏ธ clear output of differences between strings
import difflib
diff = difflib.ndiff('one\ntwo\nthree\n'.splitlines(keepends=True),
'ore\ntree\nemu\n'.splitlines(keepends=True))
print(''.join(diff))


๐Ÿ“Ž Crib โœ”๏ธ #python

๐ŸŒ http://www.tgoop.com/codeprogrammer โœ…๏ธ
Please open Telegram to view this post
VIEW IN TELEGRAM
Please open Telegram to view this post
VIEW IN TELEGRAM
๐Ÿ“Œ Big road map from William Brown: how and what to study for development in the field of generative neural networks and AI

Here are tons of useful links for each section, some of these links have already been posted in the channel, for example, links to incredibly useful tutorials from Lilian Weng .
Here are the main sections that this roadmap covers:
โœ”๏ธ time series analysis, Markov models
โœ”๏ธ recurrent neural networks, LSTM and GRU,
โœ”๏ธ working with language: tokenization, etc.
โœ”๏ธ fine tuning methods for LLM
โœ”๏ธ LLM assessment and benchmarks
โœ”๏ธ LLM optimization: quantization
โœ”๏ธ context scaling
โœ”๏ธ GAN, diffusion models
โœ”๏ธ multimodal models

โ˜„๏ธ Roadmap ๐Ÿ˜ฎ

๐ŸŒ http://www.tgoop.com/codeprogrammer โœ…๏ธ
Please open Telegram to view this post
VIEW IN TELEGRAM
Please open Telegram to view this post
VIEW IN TELEGRAM
2024/06/07 15:35:09
Back to Top
HTML Embed Code:


Fatal error: Uncaught Error: Call to undefined function pop() in /var/www/tgoop/chat.php:243 Stack trace: #0 /var/www/tgoop/route.php(43): include_once() #1 {main} thrown in /var/www/tgoop/chat.php on line 243