Everything you need to know to build your own RAG application

The LLM's practical guide: From the fundamentals to deploying advanced LLM and RAG apps to AWS using LLMOps best practices

Sharing the learning along the way we been gathering to enable Azure OpenAI at enterprise scale in a secure manner. GPT-RAG core is a Retrieval-Augmented Generation pattern running in Azure, using …

This is a public repository to go over all the LLM-driven data engineering concepts.

Create your own ChatGPT with Retrieval-Augmented-Generation workshop

Repo to accompany my mastering LLM engineering course

Implementing a ChatGPT-like LLM in PyTorch from scratch, step by step

A sample app for the Retrieval-Augmented Generation pattern running in Azure, using Azure AI Search for retrieval and Azure OpenAI large language models to power ChatGPT-style and Q&A experiences.

This repository provides tutorials and implementations for various Generative AI Agent techniques, from basic to advanced. It serves as a comprehensive guide for building intelligent, interactive A…

Repositório para criação do lakehouse da iniciativa [Trampar de Casa](https://www.trampardecasa.com.br/)

A 4-hour coding workshop to understand how LLMs are implemented and used

This repository helps you understand python from the scratch.

A curated list of awesome open-source libraries for production LLM

🤖 𝗟𝗲𝗮𝗿𝗻 for 𝗳𝗿𝗲𝗲 how to 𝗯𝘂𝗶𝗹𝗱 an end-to-end 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻-𝗿𝗲𝗮𝗱𝘆 𝗟𝗟𝗠 & 𝗥𝗔𝗚 𝘀𝘆𝘀𝘁𝗲𝗺 using 𝗟𝗟𝗠𝗢𝗽𝘀 best practices: ~ 𝘴𝘰𝘶𝘳𝘤𝘦 𝘤𝘰𝘥𝘦 + 12 𝘩𝘢𝘯𝘥𝘴-𝘰𝘯 𝘭𝘦𝘴𝘴𝘰𝘯𝘴

VectorHub is a free, open-source learning website for people (software developers to senior ML architects) interested in adding vector retrieval to their ML stack.

18 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/

This repository will consist of advanced RAG applications.

Code for the "Build Your Own Search Engine" workshop

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

LLM Zoomcamp - a free online course about building a Q&A system

This repository is for the Linkedin Learning course: Learning Python

Chat with your own data - LLM+RAG workshop

Code for "Efficient Data Processing in Spark" Course