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[@DataFirstGroup](/creator/twitter/DataFirstGroup)
"Fresh take from Databricks on turning a lakehouse into a digital mind powered by multi-agent AI. They pitch a neat recipe: Delta tables as shared memory Unity Catalog as referee vector search + MosaicML models for cognition and Workflows to glue the agents together. Sensible but two caveats are left vague: 1) how you version prompts/agent logic alongside data; 2) who arbitrates GPU cost and compliance when agents fight for resources. Still a useful framing if youre deciding where to centralise vs federate GenAI workloads. #DataArchitecture #GenAI Need guidance on GenAI platform strategy Check"  
[X Link](https://x.com/DataFirstGroup/status/1980224807988867212) [@DataFirstGroup](/creator/x/DataFirstGroup) 2025-10-20T10:49Z XXX followers, XX engagements


"Fresh from six months on the GenAI hackathon circuit Parul Pandey distils a punchy set of dos and donts. Key takeaways Ill be borrowing: Novel demos are fine but judges remember clear user value Bring a domain voice into the team early - it steers prompts and keeps scope sane Build an evaluation loop you can show live; accuracy claims without metrics sink fast Ship a landing page - feedback is data Good reminder that hackathons are less about code and more about pressure testing product strategy. #GenerativeAI #Hackathons #DataScience Need guidance on GenAI hackathons Check"  
[X Link](https://x.com/DataFirstGroup/status/1980541446420562025) [@DataFirstGroup](/creator/x/DataFirstGroup) 2025-10-21T07:47Z XXX followers, X engagements


"Digging into Qwen3-VL Eivind Kjosbakken shows how a vision - language model can extract tables and handwriting from messy PDFs with a single prompt - no bespoke OCR. Key point: prompt craft still beats sheer size. #LLMs #ComputerVision #AI"  
[X Link](https://x.com/DataFirstGroup/status/1980571653479256350) [@DataFirstGroup](/creator/x/DataFirstGroup) 2025-10-21T09:47Z XXX followers, XX engagements


"Rosidis guide to wrangling 200k messy DoorDash rows into a model-ready set shows why you profile early and script fixes for null coords duplicate orders flaky timestamps. Practical tool-agnostic worth bookmarking. #DataCleaning #MLOps #Python"  
[X Link](https://x.com/DataFirstGroup/status/1980587086861185044) [@DataFirstGroup](/creator/x/DataFirstGroup) 2025-10-21T10:48Z XXX followers, XX engagements


"OpenAI puts Plex Coffee in the spotlight: ChatGPT Business centralises recipes and speeds up onboarding. Nice example of small retail scaling but it's also a sales pitch - no numbers on cost data hygiene or measurable uplift. #AI #SMB"  
[X Link](https://x.com/DataFirstGroup/status/1980270179377389984) [@DataFirstGroup](/creator/x/DataFirstGroup) 2025-10-20T13:49Z XXX followers, XX engagements


"Snowflakes latest piece details Copilot - an in-console LLM that turns chat into SQL and proposes tweaks. Useful for boilerplate and onboarding but with only metadata visibility its performance advice still needs human scrutiny. #DataEngineering #Snowflake"  
[X Link](https://x.com/DataFirstGroup/status/1980662402384310598) [@DataFirstGroup](/creator/x/DataFirstGroup) 2025-10-21T15:48Z XXX followers, XX engagements