AI Makerspace @AIMakerspace
The world's leading community for people who want to build production LLM applications. Build 🏗️ Ship 🚢 Share 🚀 🧑💻 https://t.co/DnEWIh5kfH aimakerspace.io San Francisco Joined June 2023-
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Assertion: there are 3️⃣ key patterns for GenAI you must know. 🗂️ RAG ⚖️ Fine-Tuning 🕴️ Agents Learn them in just 30 minutes! ⚡ h/t to @MavenHQ! RSVP: bit.ly/3vuZOBB
What we’re building🏗️shipping🚢, and sharing🚀 this week: End-to-end Prototyping with Llama 3! 🦙From data to deployment, let’s build a production-grade LLM app with Llama 3 and @huggingface! @engineerrprompt joins us live! RSVP: lu.ma/llmappshf
“RAG or Fine-Tuning?” Start here: 1️⃣RAG before fine-tuning 2️⃣Fine-tune retrieval via embeddings 3️⃣Fine-tune LLM Join us live to build with @LangChainAI, @SnowflakeDB Arctic Embed, and @Meta AI’s Llama 3! S/O to Data Hhoenix for hosting! RSVP: bit.ly/4bbgMEm
Stay on the path corporate beaver friends, stay on the path…
🕴️🕴️What’s better than agentic RAG? MULTI agent RAG! We’ll discuss multi-agent applications, including: 🔄 Agent workflows 🧰 Popular Tools (e.g., @crewAIInc, LangGraph, AutoGen) We’ll also build, ship, and share a mutli-agent RAG application with @LangChainAI! RSVP:…
📖AIM Community Stories, with @DataScienceHarp, a Developer Advocate at @Voxel51 in Winnipeg. 🛣️ From actuary to biostatistician, to data scientist, solo creator, and dev advocate, was full of hard work and the right kinds of luck. 🍀 Join in for his full story:…
🦙 Have you fine-tuned Llama 3 and built an end-to-end prototype yet? Come May 1 to see the entire end-to-end process with @huggingface tools! Our friend @engineerrprompt will join us for the walkthrough and Q&A! lu.ma/llmappshf
Taking LLMs to the next level with model merging be like…
Coming up: the latest on Model Merging, including our Evolutionary Model Merging release–w/ the author @chargoddard talking to the hosts from @AIMakerspace, @llmwizard & Dr. Greg Loughane. Happening @ 10amPT / 1pm ET, sign up here: lu.ma/llmergekit #nlp #ai #LLM #LLMs
What we’re building 🏗️ shipping 🚢 and sharing 🚀 this week: Merging pre-trained LLMs with mergekit! 📈 LLM merging can enhance benchmark performance. Creator of mergekit, Charles Goddard, at Arcee.ai, joins us to answer questions! RSVP: lu.ma/llmergekit
What we built 🏗️, shipped 🚢, and shared 🚢 last week: Data Agents with @llama_index! The core constructs you need to know 👇 💾 Nodes 🔢 Embeddings 🗂️ Indices 🙋 Retrievers and Query Engines 🤖 Data Agents Recording: bit.ly/3Wcft3W Notebook: bit.ly/3UqdqYu
When you already don’t understand agentic applications but keep asking to learn multi-agents...
➡️🤖⬅️ Have you heard of Large Language Model merging? Learn the concepts and code of merging two LLMs into one! We’ll do live Q&A with the creator of mergekit, Charles Goddard of @arcee_ai. RSVP: lu.ma/llmergekit What questions do you have for the creator👇?
📖AIM Community Stories, with Ruben Alvarez Martinez, Solutions Engineer at @h2oai based in Mexico! 💬 His best advice? ⚒️ Pick a tool and build. 🏁 Finish what you start. 🤖 GenAI doesn’t replace data best practices. Hear the entire interview: discord.gg/RzhvYvAwzA
What we’re 🏗️building , 🚢shipping and 🚀sharing this week: Data Agents with @llama_index! Learn to leverage “LLM-powered knowledge workers” to add automated reasoning capabilities to your LLM applications! 2024 is the year of agents - jump in! lu.ma/llamagents
What we built 🏗️, shipped 🚢, and shared 🚢 last week: Advanced Retrieval Methods for RAG Learn about the fine line between chunking and retrieval. It exists in and around the vector store and draws our attention towards metadata... Full walkthrough: bit.ly/4aUULJJ
Building your first RAG application be like…
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Arcee.ai @arcee_ai
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LlamaIndex 🦙 @llama_index
63K Followers 25 Following The way to connect LLMs to your data. Github: https://t.co/HC19j7vMwc Docs: https://t.co/QInqg2zksh Discord: https://t.co/3ktq3zzYII https://t.co/UXeIlwvvbA
Want to build an AI powered application but don't know where to start? Checkout this session. We will cover dataset creation, finetuning, and deployment of the model so the rest of the world can interact with your creation.
🦙 Have you fine-tuned Llama 3 and built an end-to-end prototype yet? Come May 1 to see the entire end-to-end process with @huggingface tools! Our friend @engineerrprompt will join us for the walkthrough and Q&A! lu.ma/llmappshf
@deepfates not a podcast but @AIMakerspace youtube channel rocks
ResearchPaperSimplify : A RAG application chatbot used to answer questions based on research papers. It retrieves relevant papers, generates tailored answers, and recommend similar papers for further reading. #AI #RAG #GenAI @AIMakerspace Youtube video : youtube.com/watch?v=CcHaGl…
🪄 Sneak peek video that's got everyone talking #Sora! 🎥 Checkout the video here 👇 youtube.com/watch?v=yplb0y… I know @AIMakerspace is already looking at this!
@mhmazur See the example demo by @AIMakerspace in their arxiv agent could help.
@AIMakerspace Excited to see what you find out with ragas
اگه زبانتون خوبه و به این حوزه علاقه دارین، این رویداد همین الان لایو داره پخش نیشه شرکت کنین youtube.com/live/SEA3eJrDc…
🕴️Have you built your first agentic RAG application? There’s never been a better time to learn how to build one! Join us tomorrow at 10 AM PT to learn the concepts and code you need! S/o to @LangChainAI for partnering with us on the event! Join us: lu.ma/agenticrag
Launched an open-source RAG App with LangChain! 🚀 Highlights: 1. Seamless Hugging Face endpoint integration 2. Built a RAG pipeline with LangChain & Hugging Face 3. Tailoring solutions with custom datasets and evaluators. #AI Thanks to @AIMakerspace for d resources.
Unlocked insights from NVIDIA's 10-K with RAG LangChain, thanks to @AIMakerspace! 🚀 🧠 RAG LangChain deciphers financial texts. 🎯 RAGAS boosts answer precision. 👁️🗨️ Explore on @huggingface with @Chainlit huggingface.co/spaces/anuragl… #AI #RAG #ML #NVIDIA10K"
Today we're releasing a tool we've been using internally to analyze transformer internals - the Transformer Debugger! It combines both automated interpretability and sparse autoencoders, and it allows rapid exploration of models without writing code.
@jerryjliu0 @llama_index And @AIMakerspace rules It's the only community I have found that actually talks about RAG and knowledge graphs. Any others? It's all I want to talk about and build with these days. Sooooo powerful
@llama_index @AIMakerspace @memdotai mem it
@sudhirravindra8 @llama_index @AIMakerspace Saved! Here's the compiled thread: mem.ai/p/LcShM22oGuLi…
AI Makerspace is an actually rigorous and exceptionally relevant resource to learn real LLM ops and engineering. Can't recommend them enough and I'm not paid to say that 👇
Question: "Should I use RAG or Fine-Tuning?" Answer: “Yes, you should.”
RAG over Complex PDFs V2 📑 If you’re looking for a definitive tutorial on solving RAG over your messy, complicated PDFs (with messy formatting, fonts, tables, charts), this is the tutorial for you. In these settings, naive RAG doesn’t work ⛔️. This video by @AIMakerspace is a…
Our friends at @AIMakerspace really put LlamaParse through its paces and the results are impressive! Check out this in-depth look at what LlamaParse does and how it performs:
What we built 🏗️, shipped 🚢, and shared 🚀 last week: Aligning LLMs: Superior RAG for Complex PDFs with LlamaParse! Learn about the @llama_index v0.10, LlamaParse, and what pros and cons our testing revealed! Check out the full video walkthrough: bit.ly/48HoLHx
I just built and shipped my very first Retrieval Augmented Generation QA Application using Chainlit and OpenAI API Generative AI transforms search capabilities, sparking awe and progress. Thanks to @AIMakerspace for the support #OpenAI #Innovation #Learning #TechAdventure
🤖Agentic RAG with LangChain LangChain is known for agents and RAG... what happens when you combine them? @AIMakerspace will be walking through a webinar on exactly that on Wednesday, March 20th. Sign up now! lu.ma/agenticrag
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