Korey πŸ§˜πŸΎβ€β™‚οΈ (@koreyspace) 's Twitter Profile
Korey πŸ§˜πŸΎβ€β™‚οΈ

@koreyspace

DevRel Helping AI Engineers build the future @microsoft | Art by @BryanHeemskerk

ID: 17929701

calendar_today06-12-2008 21:52:49

4,4K Tweet

893 Followers

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Jacob Lee (@hacubu) 's Twitter Profile Photo

Multi-agent support is live in LangGraph.js too πŸ¦œπŸŽ‰! Encapsulating your logic into different agents can help keep distraction manageable for an LLM, and makes testing and evaluation more granular. πŸ”¨ Get out there and build! JS conceptual docs here: langchain-ai.github.io/langgraphjs/co…

Korey πŸ§˜πŸΎβ€β™‚οΈ (@koreyspace) 's Twitter Profile Photo

Excited to be going to Paris next week for the Microsoft AI Tour stop. Some Todos: - Visit STATION F - Meetup with merve - Eat a Pain au chocolat for breakfast, lunch and dinner!

merve (@mervenoyann) 's Twitter Profile Photo

Microsoft released a groundbreaking model that can be used for web automation, with MIT license πŸ”₯πŸ‘ OmniParser is a state-of-the-art UI parsing/understanding model that outperforms GPT4V in parsing. πŸ‘

Korey πŸ§˜πŸΎβ€β™‚οΈ (@koreyspace) 's Twitter Profile Photo

RAG is great to get started with building with LLMs and GenAI. Once you get started building in production though, questions about data security, quality, evaluations and how to improve your RAG workflow come quick! Join me as I hosted Farzad Sunavala and Matthew Gotteiner in

RAG is great to get started with building with LLMs and GenAI. 

Once you get started building in production though, questions about data security, quality, evaluations and how to improve your RAG workflow come quick! 

Join me as I hosted Farzad Sunavala and Matthew Gotteiner in
merve (@mervenoyann) 's Twitter Profile Photo

Microsoft released LLM2CLIP: a CLIP model with longer context window for complex text inputs 🀯 TLDR; they replaced CLIP's text encoder with various LLMs fine-tuned on captioning, better top-k accuracy on retrieval πŸ”₯ All models with Apache 2.0 license on Hugging Face 😍

Microsoft released LLM2CLIP: a CLIP model with longer context window for complex text inputs 🀯

TLDR; they replaced CLIP's text encoder with various LLMs fine-tuned on captioning, better top-k accuracy on retrieval πŸ”₯ 

All models with Apache 2.0 license on <a href="/huggingface/">Hugging Face</a> 😍
Korey πŸ§˜πŸΎβ€β™‚οΈ (@koreyspace) 's Twitter Profile Photo

The "AI Agents For Beginners" course is now live! github.com/microsoft/ai-a… - 10 Lessons available today teaching you the basics of building AI Agents - Code Samples using GitHub Models (free)w/ AutoGen and Semantic Kernel - Translations in 9 Different Languages

Christoffer Noring (@chris_noring) 's Twitter Profile Photo

Our #ai #agent curriculum is live ⭐ Featuring autogen, semantic kernel, azure agent service ⭐ Using GitHub models so free to use ⭐ Translation to 9 languages With Korey πŸ§˜πŸΎβ€β™‚οΈ Prof. Lee Stott Amy Kate Boyd and more πŸ”— github.com/microsoft/ai-a…

Unwind AI (@unwind_ai_) 's Twitter Profile Photo

Microsoft just released an AI agents course for beginners It covers Agentic Frameworks with tool use, Agentic RAG, multi-agent apps in production. 100% free.

Microsoft just released an AI agents course for beginners

It covers Agentic Frameworks with tool use, Agentic RAG, multi-agent apps in production.

100% free.