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.
Dinos Papakostas
@din0s.me
🧠 neural IR 📋 model evals 🏋️ lifting weights Incredibly optimistic about the future! 𝕏: din0s_ / din0s.me
Quick thread on the EmbeddingGemma technical report. It's a pretty nice paper so check it out!
Zeta Alpha@zeta-alpha.bsky.social · 10mo agoDeepMind just dropped the technical report behind their SOTA open-weights embedding model, packed with training details, including ablations on modeling choices like encoder-decoder initialization, mean pooling, and model souping. Let's take a look! 📚
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!
Zeta Alpha@zeta-alpha.bsky.social · 11mo agoShipping a GenAI solution in production with a clear path to ROI is hard. In our latest post, we outline key challenges in Enterprise RAG, go beyond the basics with agents, and explore how automatic optimization can adapt these systems to domain-specific needs. www.zeta-alpha.com/post/why-gen...
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-...
Robust evaluations for RAG with RAGElo
Retrieval-Augmented Generation (RAG) systems have gained strong traction because of their ability to ground generated answers in knowledge sources, allowing for higher accuracy and reliability. Howeve...
zeta-alpha.com
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-...
Evaluating AI Systems - Trends in AI: May '25
The rapid pace of developments in AI has made selecting the most suitable base model for a given task increasingly complex. Determining which public benchmarks accurately reflect downstream performanc...
zeta-alpha.com
Join us next Friday!
Zeta Alpha@zeta-alpha.bsky.social · last yr.Join us for the Zeta Alpha "Trends in AI" webinar on Friday, May 9th at 8 AM PST / 5 PM CEST, live from LAB42 in Amsterdam, and online from San Francisco and around the globe. Register on Luma to receive your webinar invitation, or watch our live stream on YouTube & LinkedIn: lu.ma/trends-in-ai...
📢 Zeta Alpha is going to OpenSearchCon Europe 2025 📢 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: 🧵
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:
Trends in AI: April 2025 - by Zeta Alpha · Zoom · Luma
Join us for the Zeta Alpha Trends in AI webinar on Thursday, April 3rd, at 8 AM PST / 5 PM CEST (time to be confirmed). This edition comes live from Hannover…
lu.ma
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!
Zeta Alpha@zeta-alpha.bsky.social · last yr.Google recently introduced Gemini Embedding, a multilingual text embedding model with remarkable performance. It currently tops the MTEB leaderboard across English, multilingual, and code retrieval tasks. Here's an overview of the key insights from their technical report: 👇
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!
Zeta Alpha@zeta-alpha.bsky.social · last yr.Feeling overwhelmed by all the talk about reasoning models? We've summarized the key points from our latest Trends in AI episode, covering the history of reasoning in LLMs, DeepSeek-R1's innovations, and their impact on AI applications. Check it out!
The whole world is buzzing with the performance of DeepSeek’s 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...
Zeta Alpha recognized as a leading native AI enterprise search technology provider.
Zeta Alpha recognized as a leading native enterprise AI search technology provider.
zeta-alpha.com
friends don’t let friends build RAG pipelines without understanding IR theory. sounds like a solid christmas gift for someone you care about!
Doug Turnbull@softwaredoug.bsky.social · 2y agoIt’s happening 🎉🎉🎉 aipoweredsearch.com
Drowning in the 4000 main track papers at #NeurIPS? Here’s a guide to 10 research areas and some of the spotlight papers that grabbed my... attention!
Zeta Alpha@zeta-alpha.bsky.social · 2y agoIt'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.
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... 👀
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
how about you o1-pro vide some benchmark numbers and real use cases
NeurIPS, the most prestigious conference in AI, kicks off next week! We will guide you through the top themes and highlights, tomorrow in our webinar, and next week with a detailed blog post and video. We picked 5 papers that we previously covered in our webinar which will be presented as orals: 🧵
Join us this Friday for the Trends in AI webinar, as we reflect on the breakthroughs that defined 2024 and see how our predictions held up. Plus a NeurIPS highlight reel, plus the trending AI papers of the month, like OpenScholar, M3DocRAG, DeMo, and more! lu.ma/oefbjkjl
spent the day reading the OpenScholar and Tülu 3 papers in detail. AI2 x UW has been on fire lately, this is what real “Open AI” looks like 😉. big thanks to both author teams for such thorough and well-crafted work.
sadly the unique content / news freshness on this platform fell off sharply after the hf dataset drama
i guess elon was right about anti-censorship huh? imagine getting permabanned for posting a hf dataset
people have the chance to engrave their existence & persona into the memory of all future LLMs simply by poasting and instead they get *mad*?? posterity here i come