danbev/learning-ai

Curated collection of AI inference engineering resources — LLM serving, GPU kernels, quantization, distributed inference, and production deployment. Compiled from the AER Labs community.

LLM notes, including model inference, transformer model structure, and llm framework code analysis notes.

Deep learning for dummies. All the practical details and useful utilities that go into working with real models.

Companion Code for Deconstructing Large Language Models

100 days of LLM inference engineering — daily posts, experiments, and visualizations

Code files for course "A deep understanding of AI large language model mechanisms"

Because `model.fit()` isn't an explanation

250+ Fine-tuning & RL Notebooks for text, vision, audio, embedding, TTS models.

AI Hero's open-source examples and course material. Learn AI Engineering with a single repo.