pelikhan

astro

The web framework for content-driven websites. ⭐️ Star to support our work!

polars

Dataframes powered by a multithreaded, vectorized query engine, written in Rust

fabric

fabric is an open-source framework for augmenting humans using AI. It provides a modular framework for solving specific problems using a crowdsourced set of AI prompts that can be used anywhere.

graphrag

A modular graph-based Retrieval-Augmented Generation (RAG) system

litellm

Call all LLM APIs using the OpenAI format. Use Bedrock, Azure, OpenAI, Cohere, Anthropic, Ollama, Sagemaker, HuggingFace, Replicate, Groq (100+ LLMs)

transformers.js

State-of-the-art Machine Learning for the web. Run 🤗 Transformers directly in your browser, with no need for a server!

tsx

⚡️ TypeScript Execute | The easiest way to run TypeScript in Node.js

llama-fs

A self-organizing file system with llama 3

maestro

A framework for Claude Opus to intelligently orchestrate subagents.

mistral.rs

Blazingly fast LLM inference.

vscode-pull-request-github

GitHub Pull Requests for Visual Studio Code

graphrag-accelerator

One-click deploy of a Knowledge Graph powered RAG (GraphRAG) in Azure

rebuff

LLM Prompt Injection Detector

vscode

VS Code extension for Vitest

augmentoolkit

Convert Compute And Books Into Instruct-Tuning Datasets (or classifiers)!

quality-prompts

Agentless

Agentless🐱: an agentless approach to automatically solve software development problems

twoslash

Markup for generating rich type information in your documentations ahead of time.

TOXIGEN

This repo contains the code for generating the ToxiGen dataset, published at ACL 2022.

picopilot

GitHub Copilot in 70 lines of JavaScript

moatless-tools

We Have No Moat, And Neither Does Devin

prompt-api

A proposal for a web API for prompting browser-provided language models

HouYi

The automated prompt injection framework for LLM-integrated applications.

do-not-answer

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

Open-Prompt-Injection

This repository provides implementation to formalize and benchmark Prompt Injection attacks and defenses

pint-benchmark

A benchmark for prompt injection detection systems.

language-models-on-the-command-line

Handout for a talk I gave about LLM and CLI tools

BIPIA

A benchmark for evaluating the robustness of LLMs and defenses to indirect prompt injection attacks.

TaskTracker

TaskTracker is an approach to detecting task drift in Large Language Models (LLMs) by analysing their internal activations. It provides a simple linear probe-based method and a more sophisticated metric learning method to achieve this. The project also releases the computationally expensive activation data to stimulate further AI safety research.

prompt-injection-mitigations

A collection of prompt injection mitigation techniques.