Official code repo for the O'Reilly Book - "Hands-On Large Language Models"Hands-On Large Language Models Welcome! In this repository you will find the code for all examples throughout the book Hands-On Large Language Models written by Jay Alammar and Maarten Grootendorst which we playfully dubbed: "The Illustrated LLM Book" Through the visually educational nature of this book and with almost 300 custom made figures, learn the practical tools and concepts you need to use Large Langu…
🌐 WebAgent for Information Seeking bulit by Tongyi Lab: WebWalker & WebDancer & WebSailor https://arxiv.org/pdf/2507.02592 WebAgent for Information Seeking bulit by Tongyi Lab, Alibaba Group 🤗 WebSailor ｜ 🤗 WebDancer-QwQ-32B | ModelScope WebDancer-QwQ-32B | 🤗 WebWalkerQA You can check the paper of WebDancer and WebWalker and WebSailor. 💥 💥 💥 Stay tuned for more updates! We are working on building native agentic model based on the Browser and more open-domain environments! …
What are the principles we can use to build LLM-powered software that is actually good enough to put in the hands of production customers?12-Factor Agents - Principles for building reliable LLM applications In the spirit of 12 Factor Apps. The source for this project is public at https://github.com/humanlayer/12-factor-agents, and I welcome your feedback and contributions. Let's figure this out together! Hi, I'm Dex. I've been hacking on AI a…
AI Agent that handles engineering tasks end-to-end: integrates with developers’ tools, plans, executes, and iterates until it achieves a successful result. Refact - Open Sourced AI Software Development Agent Refact.ai is the #1 open-source AI Agent in SWE-bench verified that handles engineering tasks end-to-end. It deeply understands your codebases and integrates with your tools, databases, and browsers to automate complex, multi-step tasks. 🚀 Seamless I…
📘 Home Assistant User documentation Home Assistant website This is the source for the Home-Assistant.io website. Setup Setting up to contribute to documentation and the process for submitting pull requests is explained in the developer documentation. Site preview In order to make the preview available on http://127.0.0.1:4000, use the following bundler command: bundle exec rake preview If the preview is not running on your local machine, pass the IP of the target machine from where it should …
Toutatis is a tool that allows you to extract information from instagrams accounts such as e-mails, phone numbers and moreToutatis 👋 Hi there! For any professional inquiries or collaborations, please reach out to me at: megadose@protonmail.com 📧 Preferably, use your professional email for correspondence. Let's keep it short and sweet, and all in English! Toutatis is a tool that allows you to extract information from instagrams accounts such as e-mails, phone numbers and more For BTC Donati…
🚀 High-performance distributed object storage for MinIO alternative. RustFS is a high-performance distributed object storage software built using Rust Getting Started · Docs · Bug reports · Discussions English | 简体中文 RustFS is a high-performance distributed object storage software built using Rust, one of the most popular languages worldwide. Along with MinIO, it shares a range of advantages such as simplicity, S3 compatibility, open-source nature, support for data lak…
Progressive Delivery for KubernetesArgo Rollouts - Progressive Delivery for Kubernetes What is Argo Rollouts? Argo Rollouts is a Kubernetes controller and set of CRDs which provide advanced deployment capabilities such as blue-green, canary, canary analysis, experimentation, and progressive delivery features to Kubernetes. Argo Rollouts (optionally) integrates with ingress controllers and service meshes, leveraging their traffic shaping abilities to gradually shift traffic to the new versi…
📚 从零开始的大语言模型原理与实践教程 Happy-LLM 中文 | English 📚 在线阅读地址 📚 从零开始的大语言模型原理与实践教程 深入理解 LLM 核心原理，动手实现你的第一个大模型 🎯 项目介绍 很多小伙伴在看完 Datawhale开源项目： self-llm 开源大模型食用指南 后，感觉意犹未尽，想要深入了解大语言模型的原理和训练过程。于是我们（Datawhale）决定推出《Happy-LLM》项目，旨在帮助大家深入理解大语言模型的原理和训练过程。 本项目是一个系统性的 LLM 学习教程，将从 NLP 的基本研究方法出发，根据 LLM 的思路及原理逐层深入，依次为读者剖析 LLM 的架构基础和训练过程。同时，我们会结合目前 LLM 领域最主流的代码框架，演练如何亲手搭建、训练一个 LLM，期以实现授之以鱼，更授之以渔。希望大家能从这本书开始走入 LLM 的浩瀚世界，探索 LLM 的无尽可能。 ✨ 你将收获什么？ 📚 Datawhale 开源免费 完全免费的学习本项目所有内容 🔍…