The Databricks Data+AI Summit festivities continue! 💪🏼 Find Chief Scientist Ines Chami & ML Architect Laurel Orr at the Compound AI Systems Workshop tomorrow (11:30am - 6pm PDT) for a lightning talk and poster on our newest OSS, Meadow! 🪴 https://lnkd.in/gpRPuZ8P
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Business intelligence tools are limited. Analytics agents are the future. And it's just the beginning. 🚀 Check out our demo below! Full release on our blog: https://lnkd.in/g3caKRkM
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Calling all developers! 📣 Numbers Station AI is excited to host our first ever Multi-Agent hackathon in conjunction with SambaNova Systems, Together AI, and Codeium at AGI House this July 13th. We're excited to see how teams will apply Meadow to build their data workflows. 🧠 Apply now: https://lnkd.in/gwz4XG-V
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Speak in your business's language and extract knowledge from your existing data catalog through a direct integration with your warehouse. Dive into engineer Peng Xu's blog on how we easily unify Tableau workbooks (and many other warehouses) to power Numbers Station's semantic catalog. 😌 Effortless extraction through seamless warehouse integrations 👩🏻💻 Parser agents that intuitively processes and sifts through catalog information 🧠 LLM robustness with first-hand understanding of your proprietary business speak https://lnkd.in/gwG9596d
How to Integrate Tableau Workbooks into Numbers Station
https://numbersstation.ai
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“Don’t make me think!” Engineer Tywen Kelly introduces 'Optioneering'—the basic principle for how to wrangle LLMs into an ergonomic interface. Users should not be expected to be engineers, nor should they be pandered to. Optioneering strikes the right balance of control & guidance. ↓ ✍🏼 Great UX reduces a user's cognitive friction of getting started 🧠 Bring humans into the loop by presenting the LLM's step-by-step reasoning process 📝 Generate templates users can build upon to generate effective outputs https://lnkd.in/gX5Ux8dA
'Optioneering': The Modern UX Principle for LLMs - Numbers Station
https://numbersstation.ai
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We wish you were there... ☘️ The Numbers Station team put remote working on pause for our bi-annual offsite—this time in Seattle, Washington! A wonderfully diverse group for a diverse set of activities—from team workshops, breakout sessions, and guest speakers to hiking, sailing, and a (surprisingly competitive) night of pool 🎱
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We're kicking off our first talk on Meadow at the MosaicX Meetup at Databricks' Data+AI Summit tonight. 🎉 Hear ML Architect Laurel Orr deep dive into how we've built the simplest LLM framework for data tasks, along with CEO Christopher Aberger in attendance. We'd love for you to join us!
We're kicking off the Data+AI Summit with the MosaicX Meetup: San Francisco Edition on Monday, June 10th. We're at the Moscone Center South, 2nd floor, with more than 1500 registrants and 39 speakers across four tracks. It's a slightly packed agenda with: ✅ Discussion panels on #Hardware, Build & Risks, Data Panel, and #VC Panel with a special session on #OLMo ✅ #Research track on importance of high quality #data, common challenges in #RAG development, #diffusion models, and more ✅ A use cases track on composable #CDP, building models, #multimodal, #agents, and more ✅ In the building LLMs track, we discuss the challenges in building LLMs, tools/techniques to build them, fast LLM inference, and building #GenAI apps. Speakers are from Databricks, Databricks Mosaic Research, Lamini, Oracle, Voltron Data, Replit, AI Squared, Robust Intelligence, Gretel.ai, SuperAnnotate, Essence Venture Capital, Amplify Partners, LlamaIndex, Quotient AI, ActionIQ, Refuel, Orby AI, You.com, Numbers Station AI, LanceDB, and Hugging Face While we are fully packed, if you are already registered for #DataAISummit, we will have a waitlist at the door. https://lnkd.in/gnFJ9xEM
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Numbers Station Labs is extremely excited to release Meadow, the first and simplest agentic framework built for complete data workflows. Meadow is fully open source! 🪴 Early results show that Meadow is within 3.6 points of state-of-the-art on the Spider text-to-SQL benchmark and realizes lifts of up to 8.8 points over simple, zero-shot text-to-SQL prompts. 💪🏼↓ Github: https://lnkd.in/grdRZG-P https://lnkd.in/gQ9fxfrg
Introducing Meadow: LLM Agents for Data Tasks - Numbers Station
https://numbersstation.ai
