Our Applied AI team with a great write up on improving Claude’s frontend design via Skills. Also with a Claude Code plugin that packages up the skill!
https://t.co/5gPFn5UwhW
We finalized a new revision of MCP. Revision 2025-03-26 will bring Auth, Streamable HTTP, Audio modality and a few other goodies.
We will be getting the SDKs up-to-date asap and will work towards a v 2.0 of the Python and Typescript SDK.
But don't worry, everything is versioned so your existing MCP servers will work.
The highly-anticipated MCP workshop with @MaheshMurag is now live!
Join @AnthropicAI Applied AI Engineer (+ creator of MCP) @MaheshMurag in this full 2-hour workshop covering the Model Context Protocol, where he covers:
00:00 Introduction
00:35 What is MCP?
09:39 Building with MCP
26:25 MCP & Agents
1:13:15 What's next for MCP?
YT version in next post.
Some customers see upwards of 80% resolution rate, but on AVG we see 51% resolution rate. I think that's pretty incredible!
I also want to give a special shout out to @PedroTabacof for leading the work on our end and @sflamini5 from Anthropic who has been excellent to work with.
Excited to share our latest research on Contextual Retrieval - a technique that reduces incorrect chunk retrieval rates by up to 67%.
When combined with prompt caching, it may be one of the best techniques there is for implementing retrieval in RAG apps.
Let me explain:
Introducing Universal-1, our most powerful speech recognition model to date.
Trained on over 12.5 million hours of multilingual audio data, Universal-1 achieves best-in-class speech-to-text accuracy across English, Spanish, French, and German.
https://t.co/xgrE6EhmJu
Introducing Universal-1, our most powerful speech recognition model to date.
Trained on over 12.5 million hours of multilingual audio data, Universal-1 achieves best-in-class speech-to-text accuracy across English, Spanish, French, and German.
https://t.co/xgrE6EhmJu
Underappreciated aspect of emerging AI market:
Buying AI models is very different from buying SaaS
-your purchase decision may impact COGS directly
-pricing is based on usage, which you need to accurately forecast up front
-technical evals more important than ever when buying
Technology often has such a high degree of specialization that going *just deep enough* into an area can quickly put you in the top 1% of domain knowledge in that space
Many engineers dramatically underestimate the relative depth of their knowledge on their favorite topics