LLM

An exhaustive technical breakdown of Andrej Karpathy's microGPT, exploring character-level tokenization, the custom Value autograd engine, and the structural implementation of Transformer blocks without modern libraries.

A comprehensive distillation of Andrej Karpathy's 3.5-hour LLM tutorial, covering pre-training, post-training, RLHF, and the future of AI agents.

Learn how to transform massive LLM capabilities into small, efficient local models using txtai and knowledge distillation techniques for specific business logic.

Vector search is fast but often imprecise. Learn how to use RAG Rerankers to dramatically improve the accuracy of your LLM applications by re-scoring candidates with cross-encoders.