Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
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A playbook for systematically maximizing the performance of deep learning models.
🚀 A curated collection of AI engineering resources, roadmaps, tools, and projects covering LLMs, RAG, AI Agents, MCP, fine-tuning, evaluations, and production AI systems.
- agentic-ai
- ai-agents
- ai-engineering
- ai-projects
Welcome to the Llama Cookbook! This is your go to guide for Building with Llama: Getting started with Inference, Fine-Tuning, RAG. We also show you how to solve end to end problems using Llama model family and using them on various provider services
:sparkles::sparkles:Latest Advances on Multimodal Large Language Models
- instruction-tuning
- instruction-following
- large-vision-language-model
- visual-instruction-tuning
The official GitHub page for the survey paper "A Survey of Large Language Models".
- chain-of-thought
- chatgpt
- in-context-learning
- instruction-tuning
A curated list of Large Language Model resources, covering model training, serving, fine-tuning, and building LLM applications.
Translated🐋 Complete guide in Russian: how to install and run DeepSeek locally (V4, R1) on PC, Mac and server — Ollama, llama.cpp, LM Studio, vLLM, Open WebUI, API, RAG, agents, fine-tuning, best tips and tricks
- ai-agents
- deepseek
- deepseek-r1
- deepseek-v4
A curated list of excellent books to learn PostgreSQL — from beginner‑friendly introductions to advanced internals, administration, and performance tuning.
- pgadmin
- postgres-extension
- postgres-tools
- postgresql
Suricata Extreme Performance Tuning guide - Mark II
Auto-optimizing a neural net (and its architecture) on the CIFAR-100 dataset. Could be easily transferred to another dataset or another classification task.
- hyperopt
- hyperparameter-optimization
- hyperparameter-tuning
- hyperparameters-optimization
Linux tuning for CouchDB performance
- couchdb-performance
- couchdb
- linux-tuning