Jupyter Notebook agents

AI Engineering Bootcamp

This repository is packed with practical, beginner-friendly codelabs that bring AI and coding concepts to life. From extracting job applicant details with OpenAI’s Function Calling (think resume parsing into JSON) to automating real-world tasks, you’ll find working code, sample datasets, and step-by-step guides here.

🤖 Build and explore powerful AI agents that solve real-world tasks using tools, memory, and reasoning within a collaborative hub.

Using LLMs to detect bias in news articles.

Using Pinecone, LangChain + OpenAI for Generative Q&A with Retrieval Augmented Generation (RAG).

AI-driven financial analyst system utilizing LangChain and Ollama for real-time stock analysis, market trends, and financial insights.

Using FineTune Models for Document Q/A and Chatbots

This is a personalized chatbot that uses context from the whatsapp chat history to behave like a specific individual

Chat with AI

AI & RAG Based Personalized Writing Assistant

Build your own ESG chatbot

🚀Information Retrieval & Question Answering 🔥LLMs 🌐Streamlit

My first RAG question-answering app that answers questions based on files uploaded. The app has been deployed on streamlit

A playbook and Colab-based demo for helping engineering teams adopt Generative AI. Includes a working RAG pipeline using LangChain + Chroma, OpenAI GPT-4o embeddings, prompt engineering best practices, and automated LLM evaluations with Ragas.

🦜🔗 LangChain-Tutorials is an amazing GitHub repository that provides an array of friendly and interactive tutorials for LangChain enthusiasts. Scripts are coded in Python

Tutorials for LangChain

In this project I have built a RAG pipeline to showcase how we can augment LLM knowledge with additional data.

Optimizing a Retrieval-Augmented Generation (RAG) system on the CNN/Daily Mail dataset using LangChain, with performance benchmarking and analysis via RAGAS.

A collection of beginner to intermediate-level Data Science & Machine Learning projects using Python, Pandas, Scikit-learn, Tensorflow, and more.

Learn about LangGraph’s components and how they enable the development, debugging, and maintenance of AI agents.

An accessible, reliable, and efficient platform for medical information and support using LLMs

Creating Knowledge Graphs and Productionalizing your RAG model with using Dagworks, FalkorDB, Langchain and OpenAI

LangChain integration for advertools

A web site crawler for semantic search.

This project leverages Langchain and Groq to analyze conversations between recovery agents and borrowers. The analysis includes summarization, key actions identification, sentiment analysis, named entity recognition (NER), and non-compliance checks.

Structured approach in AI and ML. Fundamentals and Advanced topics. RAG, Scoring & Profiling, LangChain & LangGraph, Certified Azure AI Engineer materials.

retreival augmented generation based chatbot using langchain and google's gemini which reduces hallucination and gets the latest data ensuring privacy and concise answers

Revise your subjects with studybot using RAG

The Camel Quickstart Assistant helps you build Camel applications using a LLM backed agent that draws on documentation for Camel Quarkus and Camel Springboot.

Generative AI projects using openAI, llama, langchain, vectordb

A practice repository implementing examples from the official LangChain documentation

Implementing Retrieval Augmented Generation (RAG) via using GPT-3.5-Turbo as the LLM model and Langchain to simplify the implementation, with the data being feed is in the form of list to make it easier to understand.

How to convert GPT text prompts to text prompts for Large Language Models (LLMs) on Amazon Bedrock.

Multi-model knowledge assistant/QA-Bot based on Langchain, leveraging LLMs, RAG, FastAPI and Gradio

An LLM challenge to (i) fine-tune pre-trained HuggingFace transformer model to build a Code Generation language model, and (ii) build a retrieval-augmented generation (RAG) application using LangChain

Retrieval-augmented generation (RAG) system for medical Q&A using the Merck Manual of Diagnosis and Therapy (19th Edition). Semantic search via ChromaDB and GTE-large embeddings; answer generation with Mistral 7B (GGUF). Runs fully locally for privacy, with optional GPU acceleration.

Applied AI and Agentic AI project repository from the IIIT Bangalore PGP program, focusing on LLMs, agentic workflows, automation, and real-world AI system design.

My LangGraph Exercises 🦜🕸️

Semantic book recommendation system using LLM embeddings, zero-shot classification, and emotion scoring with a Gradio dashboard.

This repository contains a case study of the use of Large Language Models to serve as a customer service chatbot based off of Home Depot's website using the Langchain framework, Slack API, and Open AI API. The Langchain agent used is a database agent that can perform SQL queries on any database.

Este repositório contém um exemplo de como criar agentes de IA usando a biblioteca CrewAI, o modelo Llama3 e a API Groq em Python. O objetivo é fornecer uma estrutura básica para configurar e executar agentes de IA.

Data Interpreter for autoGen

Sustainable Hydroponic domain-specific LLM developed to improve sustainable farming.

Materiales de la charla "Agentes inteligentes"

Advanced lecture of MIT 16.412 - Cognitive Robotics - in Spring 2019

An AI agent in your terminal that can connect to databases and generate insights

Simple Deep Research Implementation

A comprehensive guide and resource collection for building sophisticated agentic AI systems with LangGraph.

🐉 Dungeons & Dragons RAG Exploration 🎲

A Retrieval-Augmented Generation (RAG) pipeline using ADE. RAG enables LLMs to answer questions about documents by retrieving relevant chunks and generating answers grounded in that context.

This GitHub repository contains a Python script for an AI Therapist Chatbot powered by OpenAI's GPT-3.5 Turbo model. The chatbot is designed to engage with users in a supportive and empathetic manner, providing responses to user queries and messages.

Tensorflow Chatbot trained with Cornell movie-dialog corpus

NLP project myself, and Ye Fan developed for ECE 657.

This project seeks to fine-tune the GPT-2.5 model with a personal touch. By training it on personal Telegram chats, we aim to capture the essence of individualized writing styles. To spice things up, we've also fed the model a sprinkle of anecdotes and a dash of math tasks.

A curated collection of advanced AI, ML, and NLP projects—including recommenders, chatbots, prediction systems, and more. Each project is end-to-end, production-ready, and demonstrates real-world applications of modern data science and generative AI. Perfect for learning, showcasing, or building upon!

Watcharapon Weeraborirak Computer Engineering AI Developer (Machine Learning)

A multi-language virtual assistant

Generative AI nano degree program

A functional PoC chatbot inspired from Google's DialogFlow

An attention-based seq2seq neural network chatbot with PyTorch, trained on Microsoft's MetaLWOz dataset.

Virtual AI Chatbot. Automate customer service at your car dealership site. Let the chatbot be your service booking agent and sales assistant.

simply a chatbot ! (Maybe not so simple ;-) )

Repository of OpenClassrooms' AI Engineer path, project #10 : create a flight booking chatbot, integrate and deploy it as a web app

An easy to implement chatbot that can be used to enhance customer experience immediately on any website.

Whatsapp chatbot automation with Python and Selenium for sending messages, photos

A multi-layer bidirectional seq-2-seq chatbot with bahdanau attention.

QuizGPT is an interactive AI tutor that engages students with adaptive questions based on school materials, creating a fun chat experience.

对于pytorch官网chatbot的教程做了模块化的处理，包含大量的注释

Voice Chatbot, Course Project, Speech Processing

chatbot using NLP and RNN

A chatbot that can predict disease by knowing symptoms from you. It can predict almost 41 disease. It can also tell you description, precautions and symptoms for various diseases.

This project is a simple deep learning-based chatbot that uses a three-layer neural network to predict the intent of user inputs. The model architecture consists of the following layers:

A smart Solution for mental health checkup with aid of ML , applied with Firebase to store data and a dedicated ARCore App to make it interactive. Feature includes Dialogflow implementation and AudioPlaying capabilities to highlight the features presented

pytorch前馈网络分类预测chatbot

한국어 Open Domain 챗봇 개발을 위한 Pytorch Lightning 기반 코드

System Retrieval Augmented Generation

Bernard combines a sophisticated neural network machine learning model and scripted dialogue content. Using transformers and Decoding methods, it mimics the talking style of the user.

Chatbot Developed with the help of NLP and Python

MTech Project with collaboration with WNS Global Service, main goal of this project is to achieve two things: firstly, to create a reliable and open-source system that can efficiently extract information from private PDF files, and secondly, to develop a user-friendly web application that utilizes web scraping techniques to gather relevant data.

Simple Educational Implementation of OpenAI CLIP in PyTorch

🔊 PiperGen: Pretrain Piper TTS with OpenAI voices! Capture, convert, and fine-tune models for rich, natural speech synthesis. 🗣✨

Using Deep Reinforcement Learning to Find the Best Strategy in Blackjack

A Python Package for retrieving Federal Reserve Economic Data at Scale and feeding it to OpenAI

This is a Voice Assistant like Google-Assistant or Alexa using Open AI's ChatGPT. This project is developed using Python & Gradio on Google Colab.

Descubre como mejorar los modelos de lenguaje con técnicas de prompt engineering y aprovechar el poder de OpenAI para tareas de procesamiento de lenguaje natural.

PaliGemma FineTuning

Benchmarking Large Language Models for GxP Healthcare Compliance

This project explores the use of various NLP techniques to classify companies by analyzing their textual descriptions

Explore new metrics and best practices to monitor your LLM systems and ensure safety and quality

Authenticating with Entra ID (former Azure AD) to access Azure OpenAI models in Python SDK v1.x

ML-based career counsellor Streamlit app that uses GPT-3 to suggest jobs based on user skills

you will find brief code implementations of some of the latest developments in AI, including Stable Diffusion, Whisper, YOLO and HuggigFace Transformers

Simulation of ML interview with plain OpenAI and based on interview-related articles. Use of LangChain framework, OpenAI text-davinci-003 LLM and ChromaDB database for answering questions about loaded texts.

The Text-to-Image Generator is a tool that allows users to generate images from text descriptions using the OpenAI API. The purpose of this project is to make it easier for people to create images without having to be skilled in graphic design or photography. This project was built using Python, Streamlit, PIL, and urllib.

This is a a hands-on course teaching GenAI Foundations including Deep Learning, NLP, LLMs, Prompt Engineering, Fine Tuning, RAG, and Optimization (distillation, pruning, and quantization).

gpt2 Colab Notebook and Dataset + Model to Generate Fake Trump Tweets

Which NBA player does r/NBA hate the most? Sentiment analysis of 1.57M Reddit comments from the 2024-25 season.

LLM / AI data science agent, using Anthropic's Claude and PANDAS

LLM is a very powerful tool. It often performs more than required (hallucinations) and may tend to generate output in a pattern it finds best. We need RAG to harness the power of LLM in a controlled manner. In this work we implement a simple RAG system with Codegemma and an in-memory Vector Database.