中文羊驼大模型三期项目 (Chinese Llama-3 LLMs) developed from Meta Llama 3

LLaMA 3 is one of the most promising open-source model after Mistral, we will recreate it's architecture in a simpler manner.

A lightweight Python API wrapper and CLI for Perplexity’s Sonar language models.

A lightweight Python API wrapper and CLI for Groq’s offering of language models using their ultra fast LPU Inference Engine.

AI model designed to test the effectiveness in handling external ethical attacks.

This is a chatbot wrapper, built for Llama-3-Chat

Tutor-Ai is a SaaS platform for teachers to manage class quizzes and grade student submissions using OCR technology. Built with Django, it features Llama-3 & Gemma:7b, Google Vision API integration for automatic grading, and is hosted on Google Cloud. It offers a secure, scalable, and user-friendly solution for educators.

An educational and research-based exploration into breaking the limitations of LLaMA models using advanced prompt engineering techniques, including DAN (Do Anything Now) prompts, to unlock unrestricted access and capabilities. This repository contains only theoretical explanations and is intended solely for ethical and educational purposes.

Experiments in Latin dactylic hexameter generation with transformers: A hybrid post hoc feedback framework

A privacy-first AI writing assistant running entirely in your browser using WebGPU and Llama-3. No server, no data leakage.

Extending Decoders with an Integrated Encoder, as Part of Llama-3 Hackathon

Fast, minimalist, multi-threaded, open source rest api server made in javascript

轻量级大模型推理引擎

Use LLaMA 3 and Python to extract structured data from websites like Amazon, leveraging LLM-powered parsing for resilient, AI-driven web scraping.

NeoTutor is an interactive Agentic AI tutor system powered by LLaMA 3 and LangGraph. It dynamically generates questions, provides structured feedback, and offers personalized practice—all within a single notebook. Ideal for students and educators looking to explore adaptive learning using large language models.

Production-grade GenAI travel planning system built using LangChain agentic workflows and Groq Llama-3 for low-latency inference. Containerized with Docker, orchestrated via Kubernetes (Minikube on GCP VM), and instrumented with a full ELK Stack (Filebeat, Logstash, Elasticsearch, Kibana) for centralized logging and observability.

An implementation of native video-audio-text interleaved multimodal architecture.

Developed a Document Question-Answering app leveraging RAG with Llama-3. Used FAISS vector database to enable efficient retrieval of relevant document information for accurate responses.

Medical RAG Question-Answering System built using LangChain, FAISS vector store, PyPDF, and Streamlit. Powered by Mistral open-source LLMs (HuggingFace) with custom context-aware chains. Includes a production-grade LLMOps/AIOps pipeline using Docker, Jenkins CI/CD, Aqua Trivy security scanning, and automated deployment on AWS App Runner.

🗣️ Intelligent Multi-Agent Debate System built with LangGraph & Groq. Simulates structured arguments between AI personas (Scientist vs. Philosopher) with an automated AI Judge and DAG visualization.