If you are at @SQLBits we hope you can join @ShireeshThota of Microsoft for his keynote about Azure Databases. We're sure there will be some #PostgreSQL in the mix! 🐘🦩⚡️✨
Build AI apps fluidly using the new PostgreSQL extension for @code with @GitHub Copilot capabilities for highly contextual development. Learn more: https://t.co/gNCg5Vw0ST #PostgreSQL
Are you a #PostgreSQL person going to #MSIgnite this week? Join us to learn how to improve the accuracy of your GenAI apps with RAG techniques & vector search in Azure Database for PostgreSQL
Sign up now for this Tue Nov 19 session w/Jay, Maxim, & Orhun https://t.co/cHrjAVkBOS
So my Microsoft teammate @aytekinar86 is here in New York to give an awesome talk at #PGConfNYC about #PostgreSQL “Extension Development Lifecycle in Rust”, popular for both PG extension developers & Rust developers ✅✅
Don’t miss @pamelafox talk from #PosetteConf 2024 💥 “pgvector for Python developers” and learn how to use pgvector (the #PostgreSQL extension for vector storage and querying) with Python scripts and web apps 🐍
https://t.co/xOcGVTOKIs
Microsoft contributes to PostgreSQL core; develops extensions like @citusdata, runs @PosetteConf & the Talking Postgres podcast - you'd almost forget their work on @AzureDBPostgres! (Except you wouldn't)
They join us as a Supporter level sponsor https://t.co/W7kMsU1j6E
My talk for Posette this year will be about "pgvector for Python developers" - two of my current fav things. The conf is virtual and free, so join us on June 12th!
https://t.co/Mn6GR9S65f
#python#postgresql
Excited to announce release of Databricks Online Tables to Public Preview!
Online Tables give #GenAI#RAG applications ability to retrieve structured data in real-time speeding up AI chatbot responses and grounding these responses in facts. https://t.co/FZK97PxSjR
We've just released a suite of awesome features for building high-quality RAG apps on Databricks: https://t.co/MEJQQMojAi. In talking with enterprises, we found quality was often the top concern with RAG, so we help teams monitor and improve it at all levels of the stack.
MLflow just added first-class support for LLMs, including integrations with @huggingface transformers/pipelines, @OpenAI and @langchain! Open source #LLMOps is here. https://t.co/l870bYyPdE
More good partner work from @SnowflakeDB, working with @anacondainc (https://t.co/KVP2xKyYPb) to make it easier to run Python-based workflows with Snowflake
Introducing torch.profiler! New PyTorch Profiler collects both GPU and framework related info, correlates them, performs automatic detection of bottlenecks in the model, generates recommendations on how to resolve these bottlenecks, and visualize.
Read 👉https://t.co/Ottly5CtF4
FairScale, a PyTorch extension for efficient large scale training, is releasing FullyShardedDataParallel, which shards model params across GPUs (+offload to CPU). Details: https://t.co/xshPfLeXyr. Inspired by DeepSpeed/@MSFTResearch, and made by @myleott@m1nxu@sam_shleifer
Introducing “Learn the Basics" - a guide to a complete ML workflow with detailed explanations on concepts like Tensors, DataLoaders, Transforms, and more. Thanks @sethjuarez, @subramen, @Cassieview, @shwars, @pythiccoder for your contributions! Click👇
https://t.co/AjypyyZcMC