AI Makerspace
@AIMakerspace
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The world's leading community for people who want to build production LLM applications. Build 🏗️ Ship 🚢 Share 🚀 🧑💻 https://t.co/DnEWIh5S5f
San Francisco
Joined June 2023
Awesome work building 🏗️ shipping 🚢and sharing 🚀 your production-ready RAG app @SurBee_mot!.
🚀 Exciting News! 🎉 I just built and shipped a Production-ready RAG using LangChain and added monitoring using LangSmith. A huge shoutout to the @AIMakerspace for their invaluable resources and guidance. 🙌.
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Awesome work building your first agentic application @Jacksongio_ .Keep up the awesome work! 🏗️🚢🚀.
I am thrilled to announce that I have just built and shipped an Agentic Retrieval Augmented Generation Application with LangChain! 🎉🤖. 🔍 Three Key Takeaways:.1️⃣ Agent-driven tool orchestration for dynamic, multi-step queries.2️⃣ Real-time retrieval + generation pipeline for.
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What we built 🏗️, shipped 🚢 and shared 🚀 this week: Deep Research: The API. Dr. Greg and The Wiz did a deep dive on OpenAI's latest release and they showed how to build Circle of Mages: A multi-agent AI research system that leverages both PhD-level and Masters-level AI agents.
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🙋 Q: With the Deep Research API, can we put together entire research groups now?. 🤔 A: Join us live today at 10 AM PT to find out:
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🧠 How do you feel when Large Reasoning Models tell you that they’re “thinking?”. Is it just an illusion, is it for real, or does it matter?. Join us live to discuss the @Apple paper “The Illusion of Thinking” and @anthropic’s response today:.
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RT @llama_index: There can be a number of different approaches to agent memory, each serving a different purpose. That's why we recently st….
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RT @TMLS_TO: Day 3 of #TMLS2025 is live at @MaRSDD. We’re kicking off with workshops on:.🧠 RAG best-practices w/ @AIMakerspace.🧠 RL for LLM….
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The AI Makerspace crew is meeting in person at the Toronto Machine Learning Summit (TMLS) 2025. Check out what we're up to this week:. 👀 RAG is not dead!."Dr. Greg" Loughnane and Chris "The Wiz 🪄" Alexiuk will be giving a workshop as part of the GenAI Deployments In Regulated
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Being A SoftWare Engineer vs. leveraging Autonomous Software Engineers (A-SWEs) - where does your skillset fit into the new paradigm?. Learn more about @openAI’s latest A-SWE - Codex, live with us today at 10 AM PT: See you there!
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🚀 Community share: Watch how Heemeng (Chris) Foo graduates Playwright UI tests from a mock-server sandbox to a live pre-prod backend as he vibe-codes with Cursor on a Next.js bookstore app. Dive in for hard-won tactics—env-file switches, data-testids over XPath, timestamped
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Great AI answers start—and sometimes fail—with the context you feed them. In Muhammad Afzaal's latest post he unpacks why token limits, retrieval scope, and user intent make “it depends on the context” the most honest claim in machine-learning, then share concrete levers you can
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Tokens aren’t just syntax — they’re the first step in transforming raw language into high-dimensional vectors that fire up every Transformer you deploy. Saumil Srivastava's latest post walks you through that journey and packs in battle-tested tips engineering leaders can use
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RT @suhxas: 🚀 Exciting milestone: Just built my first Model Context Protocol (MCP) server!. During the @AIMakerspace MCP session, I develo….
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Thank you for joining us today as we explored the agent to agent protocol!. 🎥 Video: 🛠️ Code: 💡 Slides: Tune in next week as we explore ChatGPT Codex - the first cloud-hosted Autonomous Software Engineer.
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Struggling to choose between the state-rich, graph-orchestrated power of LangGraph and the lightweight, thread-based convenience of OpenAI Assistants? . Suhas Prakash's latest blog distills the trade-offs—control, cost, tooling, and scale—into a quick-read guide so you can pick
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What we're building 🏗️ shipping 🚢 and sharing 🚀 this week: agent to agent (A2A) protocol. Join us live for an in-depth session on the Agent2Agent (A2A) Protocol — the open standard reshaping multi-agent communication and collaboration. 🧠🤖. You’ll learn:.🌐 What A2A is and
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RT @afzaal_qau: Announcing Let's Talk v0.1.1: Interactive AI Chat for Websites via @YouTube . Build 🏗️ Ship 🚢 Share….
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RT @afzaal_qau: 🤔 "It depends on the context." For LLMs, that's everything! .Discover how to get more accurate, reliable answers from AI b….
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Enterprise-grade multi-agent workflows or a lean, privacy-first loop—Don Branson's blog dissects LangGraph’s Open Deep Research and Ollama Deep Research builds so you know when to choose each. Dive in to see how graph-orchestrated scale stacks up against local simplicity for
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