Gemini and Langchain based RAG chatbot

[WIP] Resources for AI engineers. Also contains supporting materials for the book AI Engineering (Chip Huyen, 2025)

End to End Generative AI Industry Projects on LLM Models with Deployment_Awesome LLM Projects

This repo is meant to serve as a guide for Machine Learning/AI technical interviews.

Curated list of data science interview questions and answers

The 500 AI Agents Projects is a curated collection of AI agent use cases across various industries. It showcases practical applications and provides links to open-source projects for implementation…

🧠 Curated collection of system prompts for top AI tools. Perfect for AI agent builders and prompt engineers. Incuding: ChatGPT, Claude, Perplexity, Manus, Claude-Code, Loveable, v0, Grok, same new,…

This repository offers a comprehensive collection of tutorials and implementations for Prompt Engineering techniques, ranging from fundamental concepts to advanced strategies. It serves as an essen…

A curated list of 120+ LLM libraries category wise.

RAG (Retrieval-augmented generation) ChatBot that provides answers based on contextual information extracted from a collection of Markdown files.

Multi-AI Agent System built with AutoGen that generates code from user queries and executes it locally or in Docker. Designed for safe, automated problem solving with real-time feedback.

This project consist on ChatBot implementation with two approach: Retrival-Augmented Generation (RAG) and Fine-Tuning

MLOps with MLflow, Azure ML, Azure Container Registry, Azure Web Apps and GitHub Actions.

Development and deployment on AWS of a question-answer LLM model using Llama2 with 7B parameters and RAG with LangChain

AI PDF chatbot agent built with LangChain & LangGraph

This is Andrew NG Coursera Handwritten Notes.

Generative AI Architecture Guide

This repository showcases a selection of machine learning projects undertaken to understand and master various ML concepts. Each project reflects commitment to applying theoretical knowledge to pra…

The masterclass "Large Language Models for Data Science" explains what LLMs are, what they can and cannot do, and what they can be used for.

Neural network built completely from scratch using NumPy - includes dropout, L2 regularization, and Adam optimizer

Formula One Race Lap-by-Lap Prediction with Machine Learning

This project trains a Generative Adversarial Network (GAN) using the CelebA dataset to generate realistic face images.

Learn how to design, develop, deploy and iterate on production-grade ML applications.

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…

Transformer implementation in PyTorch.

Python notebooks with ML and deep learning examples with Azure Machine Learning Python SDK | Microsoft

This project is for Fake News Detection using NLP and Machine Learning. And then Deploying it using Flask.

📖 Notes and summaries of some Machine Learning / Computer Vision / NLP papers.

A given statement or reviews about any movie can be classified with this project as that sounds positive or negative sentiment. This not only for movie reviews but also it can be extended for any o…