Tommy Xiao
@xds2000I'm Xiao Deshi and I'm a splendid chap. OSS developer | Exploring Gen AI 👨💻
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Great read - "Understanding LLMs: A Comprehensive Overview from Training to Inference" The journey from self-attention mechanism to the final LLMs. This paper reviews the evolution of large language model training techniques and inference deployment technologies. -------- →…
the Simpsons really predicted everything
脑洞大开的产品,让AI给NAS注入新鲜血液
懒猫微服开箱体验 🎉 首先感谢 @manateelazycat 和团队邀请体验,收到机器后今天迫不及待到公司来开箱体验! # 外观 打开包装,这满满的高达风太赞了,配色和质感都特别高达,体积相当小巧,图中看到只有我 Macbook 高度的一半不到(中间我贴的 @huggingface 🤗还能完全露出,借机再感谢一次…
汤团猪整了个大活,训练出了保持服装一致性的lora,让flux可以很方便的实现虚拟试衣。 工作流:openart.ai/workflows/dato…
MAGA
哇噢,再起教育革命!! 川普宣布新的教育改革计划: 1. 现有大学昂贵但教育出了各种对共产主义/恐怖主义的同情者; 2. 将创建一个名为“美国学院”的新机构,资金来自现有大学系统的税收/罚款/起诉,不动用政府预算; 3. 收集全人类最全的高质量教学内容,覆盖所有知识和技能; 4.…
检查大模型 API,我又换成了 API CHECK,这次更新很不错。该有的功能都有了,部署到 Vercel 服务,帮我避开了不少奸商。 👉github.com/october-coder/…
Remember exercise pages from textbooks? Large-scale collection of these across all realms of knowledge now moves billions of dollars. Textbooks written primarily for LLMs, compressed to weights, emergent solutions served to humans, or (over time) directly enacted for automation.
Anthropic 文档整合升级:一键对接 LLM // Anthropic 所有文档现已支持合并导出为单个纯文本文件,可直接喂给任何 LLM 使用,大大简化了文档到 AI 的输入流程 @alexalbert__ 👍 对于需要 Anthropic 文档作为知识库,或者 Firecrawl @firecrawl_dev…
Friday docs feature drop: You can now access all of our docs concatenated as a single plain text file that can be fed in to any LLM. Here's the url route: docs.anthropic.com/llms-full.txt
提示词工程全景图:AI 提示词设计与管理的系统框架 // 来自 AWS GenAI Lead @ordax 分享的框架图全面涵盖了提示词工程的各个环节,从设计、优化到部署和维护,是一个系统性的方法论参考,对于想要系统学习和应用提示工程的朋友们来说是很有价值的指导。 1. 提示设计(Prompt Design) -…
Prompt engineering in a nutshell! This is what prompt engineering really means and goes more behind than crafting prompts. #ai #genai #promptengineering
Langflow 1.1 发布:全面进化的智能体工作流开发平台 // Langflow 1.1 通过全新界面、增强型智能体组件和全局工具化能力,让任何开发者都能轻松构建和部署复杂的多智能体 AI 应用,实现了低代码开发平台的重要突破 // 1.1 版本带来了几个重要的突破性更新: 全新的可视化界面 -…
We’re so proud to announce a major new release! Welcome to Langflow 1.1 – a new era in agent workflows 🚀 ✨ Fresh Visuals 🤖 Native Agent Component 🧰 Every Component as a Tool 🎴 Loads of templates! Get ready for agentic-first AI development! 🧵
Initialization failed. Please check the error below and try again Error: Command execution failed with exit code 125 Command execution failed with exit code 125 Error: head request failed: github.com/containers/pod…: Head "github.com/containers/pod…": unexpected EOF不知道有没有离线方案
#字幕 一名大三学生的项目: 🎬 卡卡字幕助手 | VideoCaptioner - 基于 LLM 的智能字幕助手,无需GPU一键高质量字幕视频合成!支持生成、断句、优化、翻译全流程。让视频字幕制作简单高效! github.com/WEIFENG2333/Vi…
比 OpenAI/Claude Meta Prompt 更近一步!⚡️Langchain 宣布「自动优化 Prompt」- Promptim 开源!🔥 只需要输入极简单的指令,然后 Promptim 会自动执行一套 Flow 将最佳实践的 Prompt 生成出来,并且根据你提供的初始提示、数据和自定义评估等进行优化 开源地址 👉 github.com/hinthornw/prom…
gemini-exp-1114…. available in Google AI Studio right now, enjoy : ) aistudio.google.com
20 行 Python 代码搭建私有 RAG Agent @Saboo_Shubham_ @Gargi__Gupta (@_unwind_ai) // 通过整合 Llama 3.2 语言模型与 Qdrant 向量数据库,快速构建一个完全离线、保护隐私的本地化 RAG 智能问答系统,实现对自定义知识库的智能检索与应答 // 系统核心组件: - 语言模型:使用 Llama 3.2 3B(通过…
Build a local RAG Agent with Llama 3.2 and Vector database running locally on your computer (100% free and without internet):
Safe and Reliable AI via Guardrails课程简单易懂,让这个AI门禁话题有一个清晰的认识。推荐deeplearning.ai/short-courses/…
New short course: Safe and Reliable AI via Guardrails! Learn to create production-ready, reliable LLM applications with guardrails in this new course, built in collaboration with @guardrails_ai and taught by its CEO and co-founder, @ShreyaR I see many companies worry about the…
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