CS PhD @tudelft. Former @naverlabseurope.bsky.social, @bloomberg.com
CNF✈️AMS
www.zeta-alpha.com/post/why-gen...
www.zeta-alpha.com/post/why-gen...
- August 27th: @opensearch.org Meetup Amsterdam
- August 29th: AI Dev Event Amsterdam #AIDev
- August 27th: @opensearch.org Meetup Amsterdam
- August 29th: AI Dev Event Amsterdam #AIDev
https://shkspr.mobi/blog/2025/08/books-will-soon-be-obsolete-in-school/
I recently had a chance to ask a question to one of the **top** AI people. At a Q&A session, I raised my hand and asked simply "What is your […]
[Original post on shkspr.mobi]
https://shkspr.mobi/blog/2025/08/books-will-soon-be-obsolete-in-school/
I recently had a chance to ask a question to one of the **top** AI people. At a Q&A session, I raised my hand and asked simply "What is your […]
[Original post on shkspr.mobi]
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...
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...
My life goal is to make someone else play it without touching Google, and make them rely on me for tips and guidance. Is that how DMs feel like?
My life goal is to make someone else play it without touching Google, and make them rely on me for tips and guidance. Is that how DMs feel like?
Being able to specify what software you want to build, how it should be structured, and how *exactly* it should work is... programming. And getting into the weeds, when needed.
Being able to specify what software you want to build, how it should be structured, and how *exactly* it should work is... programming. And getting into the weeds, when needed.
Being able to specify what software you want to build, how it should be structured, and how *exactly* it should work is... programming. And getting into the weeds, when needed.
I think I will die of boredom.
I think I will die of boredom.
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: 🧵
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: 🧵
Sign up on Luma with the link below:
Sign up on Luma with the link below:
(just kidding, the site looks so much better now)
(just kidding, the site looks so much better now)
www.zeta-alpha.com/post/zeta-al...
www.zeta-alpha.com/post/zeta-al...
Biggest drawback is the lack of large scale training datasets with multiple relevant judgments per query.
It's time to revisit common assumptions in IR! Embeddings have improved drastically, but mainstream IR evals have stagnated since MSMARCO + BEIR.
We ask: on private or tricky IR tasks, are rerankers better? Surely, reranking many docs is best?
Biggest drawback is the lack of large scale training datasets with multiple relevant judgments per query.