Zeta Alpha launches custom AI agents built for knowledge-intensive enterprise teams. Easily create, share, schedule and manage your own AI agents that get real work done.
Quick thread on the EmbeddingGemma technical report. It's a pretty nice paper so check it out!
Really proud of this work, check it out if you're curious about the problems one typically encounters with shipping RAG solutions to production in an enterprise setting!
AI agents are only as useful as the tools they can reliably access, and the latest release of our Agents SDK makes it easy to connect to MCP servers.
We've prepared a quick guide where we bootstrap a minimal MCP-powered chat agent with just a few lines of code:
www.zeta-alpha.com/post/build-m...
Join us for the Zeta Alpha "Trends in AI" show on Friday, July 11th at 8 AM PST / 5 PM CEST live from LAB42 in Amsterdam, and online in San Francisco and around the globe.
Register to receive your Zoom webinar invitation, or watch our live stream on YouTube and LinkedIn: lu.ma/trends-in-ai...
In our latest blog post, we covered how we use RAGElo, an open-source toolkit we've developed internally in Zeta Alpha, to compare multiple RAG systems head-to-head and aggregate pairwise preferences into a robust, easy-to-interpret Elo ranking.
Check it out: www.zeta-alpha.com/post/robust-...
Missed last week's Trends in AI episode on evaluating AI systems? We've got you covered! Check out the highlights in our latest blog: www.zeta-alpha.com/post/trends-...
Join us next Friday!
π’ Zeta Alpha is going to OpenSearchCon Europe 2025 π’
We are excited to be contributing back to the OpenSearch community, sharing insights from our work in Enterprise AI, Neural Search, and Retrieval-Augmented Generation (RAG). Learn more about our talks at the conference below: π§΅
Join us for our monthly Trends in AI webinar on Thursday, April 3rd, at 8 AM PST / 5 PM CEST! This edition comes live from Hannover Messe, the world's leading industrial tech trade fair, and online in Amsterdam, San Francisco, and everywhere else in the world.
Sign up on Luma with the link below:
Grok starting the month with >50% is ridiculous. Did people really think Big Tech wouldn't roll out even a single incremental update? (let alone a big push like Gemini)
yup, it also caught my eye because they say they did this "in contrast with gecko", and although there's no ablation study in the paper on this im sure they had some internally
I wish they elaborated more on the model souping part though, it still surprises me to this day that weight merging just works π§π»ββοΈ
A deep dive into the Gemini Embedding technical report - turns out you don't need any fancy training objectives or architectural tweaks to get SOTA on MMTEB, just a solid base model and high quality data!
Wrote a little blog piece on reasoning models as a summary of our latest webinar episode, feel free to share with your non-terminally online friends who want a gentle intro to catch up and what they mean for overall AI capabilities!
great thread!
The whole world is buzzing with the performance of DeepSeekβs reasoning model, R1, and its implications for the dominance of Western tech companies in the AGI race. But what exactly are reasoning models? Did anyone see them coming? And how can they be used to create value?
Zeta Alpha recognized as a leading native AI enterprise search technology provider.
www.zeta-alpha.com/post/zeta-al...
sell me on ghostty? why should one switch over iterm2/kitty
they're all you need
i hope 2025 is the year of good ui/ux for ai
friends donβt let friends build RAG pipelines without understanding IR theory. sounds like a solid christmas gift for someone you care about!
Drowning in the 4000 main track papers at #NeurIPS? Hereβs a guide to 10 research areas and some of the spotlight papers that grabbed my... attention!
It's #NeurIPS week! With 4K+ main papers, it's OK to feel overwhelmed. Our annual NeurIPS guide is here to help!
We've curated a list of 10 topics and papers to check out, whether you're attending the conference or want to stay updated on the biggest developments in AI.
wait what happened, why do i have apple intelligence on my mac... π
the real reason we don't have agi yet is that uv's documentation isn't in the llms' training data
"think harder" is going to become in 2025 what "shorter" has been in 2024
on a similar note, this is another banger paper you should read
how about you o1-pro vide some benchmark numbers and real use cases
