"Open Source Models with Hugging Face" course empowers you with the skills to leverage open-source models from the Hugging Face Hub for various tasks in NLP, audio, image, and multimodal domains.

AI Text Summarizer App - Quickly generate concise summaries of lengthy articles, research papers, and other documents using advanced AI technology. Improve your productivity and save time with our easy-to-use summarization tool. Perfect for students, researchers, and professionals. Try it now!

This project integrates LangChain v0.2.6, HuggingFace Serverless Inference API, and Meta-Llama-3-8B-Instruct. It provides a chat-like web interface to interact with a language model and maintain conversation history using the Runnable interface, the upgraded version of LLMChain. LLMChain has been deprecated since 0.1.17.

登录 Huggingchat 与对话，配合有道翻译，可以使用"Search web"。Login to hugging-chat, translate response into chinese. "Search web" supported!

A text-to-image generator using stable diffusion API from Hugging Face

Modern code editor with real-time execution, AI assistance (Gemini), and collaborative features. Built with Next.js 15, TypeScript, Clerk auth, and Monaco editor. Supports multiple languages and secure code execution.

AI-powered SQL data generator using HuggingFace. Fill your database tables with realistic and context-aware data using AI.

Chat with LLM is a user-friendly Streamlit app that allows real-time interaction with various large language models (LLMs) via Hugging Face's API. Users can select different models, adjust settings such as temperature and token limits, and engage in dynamic conversations with AI.

In this project I have built an end to end langchain project using hugging face open source llm models such as Mistral and also open source embedding models.

👩‍💻 Lab to explore a React agent built with llama index tooling

AI-powered app for multi-agent candidate matching: Automates JD summarization, CV parsing, per-skill analysis, and interview scheduling

Developed a web-based AI image generator application that utilizes Hugging Face's Machine Learning/Artificial Intelligence model API to generate four unique images based on descriptive user-provided text prompts.

Source codes and materials of Advanced Spelling Error Correction project.

This project explains "prompt engineering," a key technique for guiding AI models to desired outputs in tools like chatbots and text summarizers. It highlights the importance of clear instructions and techniques like CoT Prompting for effective communication with large language models. The project also introduces the Langchain library✨.