Repository for the "Building LLMs for Production" book by Towards AI.
Stars, forks and merged pull requests each day or month, lined up with the repository's rank on Trendshift Trending
Oct 8 – Oct 9, 2026
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| Day | Stars gained | Forks gained | Merged PRs |
|---|---|---|---|
| Thu, Oct 8, 2026 | +0 | +0 | 0 |
| Fri, Oct 9, 2026 | +1 | +0 | 0 |
| Total | +1 | +0 | 0 |
Official code repo for the O'Reilly Book - "Hands-On Large Language Models"
The LLM's practical guide: From the fundamentals to deploying advanced LLM and RAG apps to AWS using LLMOps best practices
Build production-ready LLM applications and advanced agents using Python, LangChain, and LangGraph. This is the companion repository for the book on generative AI with LangChain.
A comprehensive guide to building RAG-based LLM applications for production.
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
Hands-on, framework-free Colab notebooks for the AI Engineer / Forward Deployed Engineer (FDE) skill set — model APIs, structured output, tool calling, RAG, evals-as-the-spine, agents (loop from scratch, tool design, guardrails, MCP, Skills), fine-tuning vs LoRA, prompt-injection/security, LLMOps, and customer craft. Runs on the free Groq API.
A curated list of Large Language Model resources, covering model training, serving, fine-tuning, and building LLM applications.
This repository contains different LLM chatbot projects (RAG, LLM agents, etc.) and well-known techniques for training and fine tuning LLMs.
