Zack @xzqttt
Beijing Joined April 2009-
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Corrective RAG Proposes Corrective Retrieval Augmented Generation (CRAG) to improve the robustness of generation in a RAG system. The core idea of this paper is to implement a self-correct component for the retriever and improve the utilization of retrieved documents for…
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Tom Huang @tuturetom
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movielife @movielife1983
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shin @saitunlim
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parentid_114 @parentid_114
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姜晓鹏 @xiaopengjiang
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Nerissa Vinnakota @NerissaVinnakot
61 Followers 711 Following Music is a business, just like any other business. You produce a product, your music, and you are trying to sell that product to your customers
小皮 @zengkun100
116 Followers 100 Following 具有浓厚文艺情节的程序员；妄想走遍世界的背包客；聪明伶俐活力无限的O型双子座。Software Developer; Backpacker; Shutterbug.
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Globe (dot) Engineer @globe_engineer
2K Followers 2 Following Applied AI company making products that optimally represent information for human comprehension.
Cameron R. Wolfe, Ph... @cwolferesearch
21K Followers 625 Following Director of AI @RebuyEngine • Writer @ Deep (Learning) Focus • PhD @optimalab1 • I make AI understandable
AiCatalog @AiCatalog
4 Followers 4 Following AI Catalog - The most largest AI tools directory, with reviews from real users and useful articles from the world of AI, which updates daily
Gabriel Legorburu, PE.. @GabeLegorburu
90 Followers 173 Following Founder L&L engineering. I provide AI solutions, energy modeling and sustainable design for contractors, engineers, architects. 20+ years experience, PE, PhD
Vugar Ibrahimov @vugar_ibrahimov
3K Followers 101 Following PhD Researcher at @UniHalle ✦ LL.M from UAntwerpen ✦ Claude, Gemini and ChatGPT ✦ Artificial Intelligence (AI) Tools ✦ Academic Research & Writing ✦ Legal Tech
AK @_akhaliq
310K Followers 3K Following AI research paper tweets, ML @Gradio (acq. by @HuggingFace 🤗) dm for promo follow on Hugging Face: https://t.co/q2Qoey80Gx
金禅 @jinchanzx
724 Followers 81 Following 阿里巴巴全栈工程师/独立开发者/资深动漫专家 / 主攻: AI/3D/低代码/正在做的产品：https://t.co/YRBidqRic1
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tavily @tavilyai
2K Followers 2 Following Tavily is the leading search engine designed for LLMs and tailored for RAG purposes.
Groq Inc @GroqInc
46K Followers 470 Following Creator of the LPU™ Inference Engine, providing the fastest speed for AI applications, designed & engineered in N. America https://t.co/DsEqVAC5Dp
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1K Followers 96 Following Wordpress Developer | Computer Science, Front-End Development.
Rohan @clusteredbytes
3K Followers 250 Following Professional AI Engineer. Sharing what I'm currently learning, mostly about AI, LLMs, RAG, building AI powered software, AI automation etc.
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842 Followers 227 Following 计算机专业博士 @ZJU_China | 网易副总裁兼杭州研究院执行院长 | 极简主义 | 吉他&摇滚，徒步 max {理想} s.t. {现实}
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6K Followers 310 Following Machine learning @huggingface: co-lead of @bigcodeproject and maintainer of TRL.
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25K Followers 742 Following populating the metaverse. founder @hyperonline_ (ycw21). helped companies like @cashapp, @dydx, @meta, & more. IG: localghostx
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71K Followers 8K Following VC by day, builder by night: @untappedvc, @babyagi_, @pixelbeastsnft. Build-in-public log: https://t.co/UdHHGbZba5
Andrej Karpathy @karpathy
980K Followers 905 Following 🧑🍳. Previously Director of AI @ Tesla, founding team @ OpenAI, CS231n/PhD @ Stanford. I like to train large deep neural nets 🧠🤖💥
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262K Followers 26 Following We're an AI safety and research company that builds reliable, interpretable, and steerable AI systems. Talk to our AI assistant Claude at https://t.co/aRbQ97uk4d.
Connor Shorten @CShorten30
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173 Followers 775 Following AI/Computer Vision/LLM Researcher | Open-source ML | Building cool and exciting Stuff Connect- https://t.co/8wrqNPc2kP
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Super fast ⚡️ News Articles powered by llama3 on @GroqInc. This AI App built with @streamlit: 🔎 Searches the web for articles 👩💼 Reads and summarizes each article using llama3:8b 📜 Writes a News Article using llama3:70b open source: git.new/groq-news
参考文献： [1] Automatic chain of thought prompting in large language models. [2] Complexity-based prompting for multi-step reasoning. [3] Progressive-hint prompting improves reasoning in large language models. [4] Decomposed prompting: A modular approach for solving complex…
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How to find the research that matters most to your study (without getting lost in the literature) Steal my process for identifying the most relevant studies:
一个基于AI技术进行网页数据爬取的 Python 网页爬虫工具：ScrapeGraphAI ScrapeGraphAI通过使用LLM和图逻辑来创建针对网站、文档和 XML 文件的抓取流程。 用户只需要指定想要提取的信息类型，ScrapeGraphAI 库就能自动执行数据抓取的任务。 github：github.com/VinciGit00/Scr……
以嵌套网页形式展示搜索结果的产品globe，已经接入了Gorq，速度真的快的离谱。 一秒钟展示一个概念的所有内容，加载的速度赶不上生成的速度。
Self-attention in transformers clearly explained:
👨🏫Learn LangChain and Gen AI by Building 6 Projects This is a great course to understand how LangChain can work with a variety of technologies. Watch the full course on the freeCodeCamp.org youTube channel (4-hour watch). youtube.com/watch?v=x0AnCE…
RAGFlow开源了一个RAG框架！ RAGFlow ：一款基于深度文档理解构建的开源 RAG（Retrieval-Augmented Generation）引擎。 RAGFlow 可以为各种规模的企业及个人提供一套精简的 RAG 工作流程，结合大语言模型（LLM）针对用户各类不同的复杂格式数据提供可靠的问答以及有理有据的引用。 特点：…
Apple MLX: Build Your Own Private AI Server 📱100% Local to your Network 🌐 Access AI on Any Device 🖥️ Run Locally 🔧 Using MLX Server 👩💻 Create a UI Chatbot using @chainlit_io 📚 Step-by-Step Guide Subscribe: youtube.com/@MervinPraison YT: youtube.com/watch?v=mStqWk… @awnihannun
A 9-part series on RAG from Prototype to Production ⭐️ RAG in a notebook is easy, RAG serving live production users is hard. This tutorial series by Marco Bertelli is the perfect step-by-step resource to outline all the architectural components you need to productionize a full…
Before you build complex agent systems, I’d recommend building with the individual “agent ingredients” first to gain a better first principles understanding of how they work. Here are the main ingredients for building an agent (mini 🧵) Query Planning: Given the task +…
Cohere 发布 Cohere Toolkit AI 工具包，初始应用程序是一个知识助手。 可以连接到企业数据并针对特定团队定制的知识助手可以通过提供快速访问信息、自动化任务。 🌟主要特点有： 会话式: Cohere 的模型默认驱动此应用程序，并经过训练，以了解对话背后的意图，记住对话历史，并使用 RAG…
LLM-driven Search and Knowledge Agent are key use-cases for enterprises looking to augment their workforce with AI. But they take a ton of time to build because you have to stitch together models, prompts, UX, data connections, etc.
大模型顶尖团队的绝佳审美：Cohere Design 最近被 Cohere Command R 系列模型、Cohere Toolkit 深深震撼，在感叹这个团队强大的企业模型能力的同时，也被它产品设计的优雅深深吸引，深深的好奇，Cohere 的审美怎么会这么好这么优雅，让我们接着往下看 👇 Cohere Design 由 Pentagram…
This is crazy. I created this real-time AI voice agent to handle reservations for a fictitious restaurant, all without coding and in a few minutes 🤯 Link and tutorial in the comments.
create-llama is the easiest way to get started with a full-stack RAG application and take it all the way to production, and it just hit version 0.1! There's a ton of updates recently, including: ✅ @ollama support, so you can run llama3 and phi3 ✅ New vector database support…
Use `npx create-llama` to quickly create RAG applications using @llama_index. Now, you can show the sources of the retrieved context (think of @perplexity_ai). Watch the video below to see the feature in action. 📃 Code: github.com/run-llama/crea…
🤖🏆LangGraph: Can Language Models Solve Olympiad Programming? 🤖🏆 Last week, Princeton researchers released the USACO benchmark dataset and showed that a zero-shot GPT-4 agent only passes 8.7% of the questions. We've implemented this paper in LangGraph and created a tutorial…
Building with AI gets easier every day. Here is an open-source library that makes integrating AI into an application extremely easy: github.com/CopilotKit/Cop… Star the repository! This library alone can make React the best front-end framework out there! There are a bunch of…
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