Browse agent skills

The most advanced AI document assistant

AI Marketing Copywriter tool

a Twitter thread by [@goodside](https://twitter.com/goodside) with alternatives to ChatGPT

list of wrappers for accessing ChatGPT in platform such as Discord, Telegram, and languages such as Python, JS.

A powerful tool for working with Large Language Models

Python library that helps building applications with LLMs through composability

"Open source UI visual tool to build your customized LLM flow using LangchainJS, written in Node Typescript/Javascript"

All Secrets on a Single Page | by Ivan Reznikov | Nov, 2023 | Towards AI

a list of adversarial prompts attacks by Prompt Engineering Guide

an overview of the current attack techniques on LLMs by Marcello Carboni

Awesome Gen AI Tools: Adversarial Attacks on LLMs | Lil'Log

"key attack vectors that threat actors can exploit to compromise or manipulate LLMs".

the Open Worldwide Application Security Project's list related to LLMs [[Youtube video]](https://www.youtube.com/watch?v=engR9tYSsug)

knowledge base of adversary tactics and techniques based on real-world attack observations and realistic demonstrations from AI red teams and security groups, modeled after the MITRE ATT&CK® framework.

From Prompt Injection to C2 with Claude Computer Use

an NLP-as-a-service platform

The enterprise-grade software to build, monitor, and improve your AI application. Keywords AI is a full-stack LLM engineering platform for developers and PMs.

provides a unique API connected to the AI engines

a leaderboard of The Pile benchmark.

a leaderboard that benchmarks foundation models with Language-Model-as-an-Examiner.

a leaderboard that features LLM use cases.

a leaderboard that compares LLMs for all prompts.

Indico Data runs a monthly benchmarking exercise across providers (LLama, Azure OpenAI, Google, AWS Bedrock, and Indico trained discriminative standard language models RoBERTa and DeBERTa), datasets (e.g. cord and CUAD), and capabilities (text classification, key information extraction, and generative summarization).

talk by Princeton professor Arvind Narayanan

Awesome Gen AI Tools: Challenges in evaluating AI systems | Anthropic

Awesome Gen AI Tools: Red teaming and model evaluations | Anthropic

Awesome Gen AI Tools: How to evaluate a summarization task | OpenAI Cookbook

no-code batch compute platform for LLM evaluation and tuning workloads

39 models tested (7B-70B + ChatGPT/GPT-4)

Awesome Gen AI Tools: Sharing LangSmith Benchmarks