Machine Learning with Python
67.8K subscribers
1.47K photos
127 videos
197 files
1.19K links
Learn Machine Learning with hands-on Python tutorials, real-world code examples, and clear explanations for researchers and developers.

Admin: @HusseinSheikho || @Hussein_Sheikho
Download Telegram
5 Fun Papers That Explain LLMs Clearly πŸ“šβœ¨

Want to understand LLMs better? Start with these five foundational papers that explain how they work. πŸ€–

Large language models (LLMs) can feel complicated at first. There are transformers, attention layers, scaling laws, pretraining, instruction tuning, human feedback, retrieval, and many other ideas around them. 🧠 But the best way to understand large language models is not to start with a huge textbook. A better way is to read a few important papers that each explain one major part of the system. πŸ“„ This article is part of a fun series where we learn by exploring core ideas, practical projects, and the research papers behind modern technology. πŸ”¬ In this article, we will go through five papers that explain how LLMs work. So, let's get started. πŸš€

More: https://www.kdnuggets.com/5-fun-papers-that-explain-llms-clearly

#LLM #AI #MachineLearning #DeepLearning #DataScience #Tech

✨ Join Best TG Channels https://xn--r1a.website/addlist/0f6vfFbEMdAwODBk

⭐️ Join Our WhatsApp Channel https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A

πŸš€ Level up your AI & Data Science skills with HelloEncyclo β€” a growing all-in-one platform featuring hands-on courses in LLMs, Deep Learning, MLOps, Data Engineering, and more.
βœ… 13 courses live + 40+ coming soon
🎯 One access, lifetime updates
πŸ”‘ Use code: PRESALE-BOOK-WAVE-2GFG
πŸ‘‰ https://helloencyclo.com/?ref=HUSSEINSHEIKHO
❀4
10 GitHub repositories that are worth checking out for an AI engineer πŸ€–

1. Hands-On AI Engineering πŸ› οΈ

A collection of AI applications and agent systems with practical use cases of LLM.

πŸ‘‰ https://github.com/Sumanth077/Hands-On-AI-Engineering

2. Hands-On Large Language Models πŸ“˜

Full code from the book Hands-On Large Language Models: from basics to fine-tuning.

πŸ‘‰ https://github.com/HandsOnLLM/Hands-On-Large-Language-Models

3. AI Agents for Beginners πŸŽ“

A free course from Microsoft with 11 lessons on creating AI agents.

πŸ‘‰ https://github.com/microsoft/ai-agents-for-beginners

4. GenAI Agents πŸ€–

A large collection of tutorials and implementations of agent systems.

πŸ‘‰ https://github.com/NirDiamant/GenAI_Agents

5. Made With ML πŸš€

About the development, deployment, and support of production-ready ML systems.

πŸ‘‰ https://github.com/GokuMohandas/Made-With-ML

6. Learn Harness Engineering βš™οΈ

A practical course on Harness Engineering for AI agents.

πŸ‘‰ https://github.com/walkinglabs/learn-harness-engineering

7. AutoResearch πŸ”¬

Autonomous cycles of ML experiments from Andrej Karpathy.

πŸ‘‰ https://github.com/karpathy/autoresearch

8. Designing Machine Learning Systems πŸ“š

Notes and materials from Chip Huyen's book.

πŸ‘‰ https://github.com/chiphuyen/dmls-book

9. Awesome LLM Inference ⚑

A collection of materials on LLM inference: Flash Attention, KV Cache, quantization, and more.

πŸ‘‰ https://github.com/xlite-dev/Awesome-LLM-Inference

10. LLM Course πŸ—ΊοΈ

A practical course on LLM with a roadmap and Colab notebooks.

πŸ‘‰ https://github.com/mlabonne/llm-course

#AI #MachineLearning #LLM #DataScience #Tech #GitHub

✨ Join Best TG Channels https://xn--r1a.website/addlist/0f6vfFbEMdAwODBk

⭐️ Join Our WhatsApp Channel https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A

πŸš€ Level up your AI & Data Science skills with HelloEncyclo β€” a growing all-in-one platform featuring hands-on courses in LLMs, Deep Learning, MLOps, Data Engineering, and more.
βœ… 13 courses live + 40+ coming soon
🎯 One access, lifetime updates
πŸ”‘ Use code: PRESALE-BOOK-WAVE-2GFG
πŸ‘‰ https://helloencyclo.com/?ref=HUSSEINSHEIKHO
❀5πŸ‘2