Explore generative AI with Hugging Face models and LangChain. This project provides Jupyter notebooks for setting up, fine-tuning, and deploying models for tasks like text generation, question answering, and instruction following. Ideal for developers and AI enthusiasts aiming to build robust, scalable NLP solutions with open-source tools.

Code demos showing how to integrate open-source Hugging Face chat and embedding models with LangChain for Generative AI tasks.

This project demonstrates the integration of Hugging Face models with LangChain using the langchain-huggingface partner package. It showcases both serverless model access via Hugging Face Inference API and local model execution using HuggingFace Pipelines for real-world Generative AI

This AI-powered application processes PDF documents and generates insightful summaries, key points, or responses using Generative AI models. It integrates Hugging Face models with OpenAI & LangChain to provide an intelligent document analysis tool. The solution is deployed on Streamlit and Hugging Face Cloud separately.

This AI-powered application transforms images into narrated audio stories by leveraging Generative AI models. It integrates Hugging Face models with OpenAI & LangChain to generate meaningful audio narratives based on uploaded images. The tool is deployed on Streamlit and Hugging Face Cloud as separate instances.

📚 I'm learning Generative AI using LangChain. This repository contains my practice code and experiments with different models from: - OpenAI - Hugging Face - Anthropic - and more I'm exploring how to build applications with LLMs using LangChain's powerful tools.

A comprehensive collection of projects, notebooks, and experiments exploring Generative AI — including LLMs, diffusion models, text-to-speech, and fine-tuning techniques. Built with Python, Hugging Face, LangChain, and other open-source tools.

Welcome to my repository dedicated to exploring the world of Generative AI! Here, I build and share projects leveraging LangChain, Hugging Face Transformers, and other open-source large language models (LLMs). This space is all about experimenting with the latest advancements in AI.

A curated collection of notes, code snippets, and hands-on projects to learn about Generative AI and Large Language Models (LLMs). This repository includes concept breakdowns, implementation tutorials, and experiments with popular frameworks like Hugging Face Transformers, LangChain, and OpenAI APIs.

This is a simple yet powerful Generative AI-powered chatbot that allows users to upload PDF documents and ask questions about their content. Built using Streamlit, LangChain, and Hugging Face Transformers, the chatbot performs intelligent document understanding by combining semantic search with text generation models.

A comprehensive repository featuring tutorials, examples, and real-world projects that explore Generative AI with Python. Learn to build intelligent apps using OpenAI, LangChain, Hugging Face, and Stable Diffusion for text, image, and code generation. Includes prompt engineering, model fine-tuning, and interactive demos for developers & scientists.