Large Language Models (LLMs) - BKJackson/BKJackson_Wiki GitHub Wiki

Use VLLM!!

VLLM - vLLM is a fast and easy-to-use library for LLM inference and serving. Originally developed in the Sky Computing Lab at UC Berkeley, vLLM has evolved into a community-driven project with contributions from both academia and industry.

LLM Cli

Large Language Models can run tools in your terminal with LLM 0.26 - covered in Simon Willson's blog

RLHF - Reinforcement Learning from Human Feedback

RLHF Book - by Nathan Lambert, A short introduction to RLHF and post-training focused on language models.

Hugging Face & Transformers

Hugging Face Transformers Getting Started Guide

Videos

[Full Workshop] Reinforcement Learning, Kernels, Reasoning, Quantization & Agents — Daniel Han - July 19, 2025, Explains Group Relative Policy Optimization and fine-tuning base large language models
Slides for the above talk

Introductory tutorials

Hands On Large Language Models - Official code repo for the O'Reilly Book - "Hands-On Large Language Models"
LLM Book - Hands-On Large Language Models Book online

Building LLMs from the Ground Up: A 3-hour Coding Workshop

LLM Quantization evaluation— leave no bits behind

Reasoning, Chain of Thought, and Reinforcement Learning

Satori: Reinforcement Learning with Chain-of-Action-Thought Enhances LLM Reasoning via Autoregressive Search - Paper by Shen et al., 2025

DeepSeek

[Group Relative Policy Optimization Explained] DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models - Yannic Kilcher video discussion of the paper