duncsand

duncsand's Stars

• promptfoo/promptfoo

  Test your prompts, agents, and RAGs. Red teaming, pentesting, and vulnerability scanning for LLMs. Compare performance of GPT, Claude, Gemini, Llama, and more. Simple declarative configs with command line and CI/CD integration.

  Language:TypeScript4.1k296

• AstraZeneca/KAZU

  Fast, world class biomedical NER

  Language:Python707

• Libr-AI/do-not-answer

  Do-Not-Answer: A Dataset for Evaluating Safeguards in LLMs

  Language:Jupyter Notebook15221

• yoheinakajima/airtable_to_graph

  Turns an Airtable base into a WebGL knowledge graph leveraging relational columns

  Language:Python343

• microsoft/LLMLingua

  To speed up LLMs' inference and enhance LLM's perceive of key information, compress the prompt and KV-Cache, which achieves up to 20x compression with minimal performance loss.

  Language:Python4.4k241

• protectai/rebuff

  LLM Prompt Injection Detector

  Language:TypeScript1.1k73

• open-webui/open-webui

  User-friendly WebUI for LLMs (Formerly Ollama WebUI)

  Language:Svelte38.2k4.4k

• tlkh/asitop

  Perf monitoring CLI tool for Apple Silicon

  Language:Python3.3k147

• mzbac/mlx-llm-server

  For inferring and serving local LLMs using the MLX framework

  Language:Python764

• CopilotKit/CopilotKit

  A framework for building custom AI Copilots 🤖 in-app AI chatbots, in-app AI Agents, & AI-powered Textareas.

  Language:TypeScript9.7k934

• philschmid/clipper.js

  HTML to Markdown converter and crawler.

  Language:TypeScript47131

• pmndrs/zustand

  🐻 Bear necessities for state management in React

  Language:TypeScript46.1k1.4k

• neobundy/Deep-Dive-Into-AI-With-MLX-PyTorch

  "Deep Dive into AI with MLX and PyTorch" is an educational initiative designed to help anyone interested in AI, specifically in machine learning and deep learning, using Apple's MLX and Meta's PyTorch frameworks.

  Language:Python33746

• n4ze3m/dialoqbase

  Create chatbots with ease

  Language:TypeScript1.6k260

• aurelio-labs/semantic-router

  Superfast AI decision making and intelligent processing of multi-modal data.

  Language:Python1.9k191

• ml-explore/mlx-examples

  Examples in the MLX framework

  Language:Python5.8k823

• axolotl-ai-cloud/axolotl

  Go ahead and axolotl questions

  Language:Python7.5k808

• huggingface/alignment-handbook

  Robust recipes to align language models with human and AI preferences

  Language:Python4.4k385

• vectara/hallucination-leaderboard

  Leaderboard Comparing LLM Performance at Producing Hallucinations when Summarizing Short Documents

  Language:Python1.2k45

• Mintplex-Labs/vector-admin

  The universal tool suite for vector database management. Manage Pinecone, Chroma, Qdrant, Weaviate and more vector databases with ease.

  Language:TypeScript1.2k199

• Anil-matcha/Awesome-GPT-Store

  Custom GPT Store - A collection of major GPTS available in public

  1.4k160

• Barnacle-ai/awesome-llm-list

  An overview of Large Language Model (LLM) options

  697

• vercel/modelfusion

  The TypeScript library for building AI applications.

  Language:TypeScript1.1k78

• guardrails-ai/guardrails

  Adding guardrails to large language models.

  Language:Python3.8k288

• confident-ai/deepeval

  The LLM Evaluation Framework

  Language:Python2.9k213

• run-llama/finetune-embedding

  Fine-Tuning Embedding for RAG with Synthetic Data

  Language:Jupyter Notebook45464

• Open-Swarm-Net/GPT-Swarm

  GPT-Swarm is an open-source project that harnesses the power of swarm intelligence to enhance the capabilities of state-of-the-art language models. By leveraging collective problem-solving and distributed decision-making, GPT-Swarm creates a robust, adaptive, and scalable framework for tackling complex tasks across various domains.

  Language:Jupyter Notebook22938

• zylon-ai/private-gpt

  Interact with your documents using the power of GPT, 100% privately, no data leaks

  Language:Python53.5k7.2k

• qiuhuachuan/latent-jailbreak

  Language:Python302

• togethercomputer/OpenChatKit

  Language:Python9k1k