AI Notebooks

Learn everything you need to know about LLMs. The most advanced techniques are covered for:

• Supervised fine-tuning

• Quantization

• Efficient inference and serving

• Reinforcement learning and preference optimization

• Dataset generation

• RAG

All applied to state-of-the-art LLMs: Llama 2/3/3.1/3.2, Gemma 2/3, Mistral, Mixtral, Phi, Yi, Falcon, Qwen-VL, Qwen 2/2.5/3, Minitron, DeepSeek models, and others.

There are over 161 notebooks, with 2 new ones added every week.

They run on Google Colab, and you can copy, share, or download them as Jupyter notebooks.

If a notebook breaks, DM me on Substack and I’ll help.

The notebooks: