llms

A simple local Retrieval-Augmented Generation (RAG) chatbot that can answer to questions by acquiring information from personal PDF documents.

LLMs4OM: Matching Ontologies with Large Language Models

A radically simple, reliable, and high performance template to enable you to quickly get set up building multi-agent applications

Speak (speech-to-text) to LLMs (Ollama) in any lanaguage - Streamlit app https://deepwiki.com/iamaziz/llm-voice-bot

SochDB is a high-performance embedded, ACID-compliant vector database purpose-built for AI agents and memory

ALICE and its prior work, Voice2Action: Language Models as Agent for Efficient Real-Time Interaction in Virtual Reality

[ICML'25] MedTok: Multimodal Medical Code Tokenizer

Tuning the Finetuning: An exploration of achieving success with QLoRA

Enjoy easier conversations with LLM

Code for the paper "Aligning LLM Agents by Learning Latent Preference from User Edits".

Automate web research way beyond the first page of search results; curate knowledge bases to chat with.

Easy to use LLM Prompt Injection Detection and Prompt Input Sanitization / Detector Python Package with support for local models, API-based safeguards, safeguard for tool calls, and LangChain guardrails.

⭐ College.ai is an advanced AI-powered platform that provide a set of tools for students, job seekers, and professionals.

Langchain Agent utilizing OpenAI Function Calls to execute Git commands using Natural Language

AI-powered semantic search engine for emojis in 50+ languages, developed in Python

Must-read papers and blogs about parametric knowledge mechanism in LLMs.

This is the official code for the paper "Booster: Tackling Harmful Fine-tuning for Large Language Models via Attenuating Harmful Perturbation" (ICLR2025 Oral).

Collection of Basic Prompt Templates for Various Chat LLMs (Chat LLM 的基础提示模板集合)

Practical step-by-step LangChain guides

A Streamlit app for generating high-quality Q&A training datasets from text and PDFs, leveraging Gemini, Claude, and OpenAI for LLM fine-tuning.