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🔥 Search, scrape, and clean the web for AI agents.
Code for ICML 2025 paper | Joint Localization and Activation Editing for Low-Resource Fine-Tuning
Adding guardrails to large language models.
Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.
A guidance language for controlling large language models.
🚀🤖 Crawl4AI: Open-source LLM Friendly Web Crawler & Scraper. Don't be shy, join here: https://discord.gg/jP8KfhDhyN
Get your documents ready for gen AI
Cloud Run Jobs Demos - A collection of samples to show you how and when to run a container to completion without a server
Truly universal encoding detector in pure Python.
A convenient framework for developing LLM- and LMM-based web agents. (ACL'24 Demo)
A curated list of awesome tools, utils and projects using Playwright
All-in-one Web Agent framework for post-training. Start building with a few clicks!
A library for advanced large language model reasoning
Code for "WebVoyager: WebVoyager: Building an End-to-End Web Agent with Large Multimodal Models"
Supercharge Your LLM Application Evaluations 🚀
Code for 'LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders'
Documentation and examples about how you can use etimolojiturkce.com HTTP api
f.k.a. Awesome ChatGPT Prompts. Share, discover, and collect prompts from the community. Free and open source — self-host for your organization with complete privacy.
Toolkit to segment text into sentences or other semantic units in a robust, efficient and adaptable way.
WhisperX: Automatic Speech Recognition with Word-level Timestamps (& Diarization)
Automatic Speech Recognition with Speaker Diarization based on OpenAI Whisper
Brevitas: neural network quantization in PyTorch
Enso Analytics is a self-service data prep and analysis platform designed for data teams.
Fast inference engine for Transformer models
Open Source Neural Machine Translation and (Large) Language Models in PyTorch
This includes the original implementation of SELF-RAG: Learning to Retrieve, Generate and Critique through self-reflection by Akari Asai, Zeqiu Wu, Yizhong Wang, Avirup Sil, and Hannaneh Hajishirzi.
A high-throughput and memory-efficient inference and serving engine for LLMs