Viewing profile — mpmisko

There has been a lot of progress in this field in the research community. Two good papers: * https://ojs.aaai.org/index.php/AAAI/article/view/11027 * https://arxiv.org/abs/2212.039…

EBMs show up all over the place, apparently even your classifier is an EBM :) ( https://arxiv.org/abs/1912.03263 ).

GPT-based search engines usually use some sort of a database to retrieve context for the LLM to summarize first. This is what people refer to as RAG these days: https://blogs.nvidi…

Will definitely check pgvector, thanks for the pointer.

Lots of annoying edge cases as you can imagine, nothing particularly glamorous.

Done! Let me know if you have other feedback.

Thanks! Looks quite relevant

Training for multiple epochs is a bit like that :)

We use pinecone and it is not ideal, looking at https://turbopuffer.com/ now. They look quite promising :)

1. We cover all the articles on PMC. The exact cost is hard to estimate because we did a lot of iterations. 2. We do weight those ... it is a lot of trial and error and you have to…

Yes

Glad you like it! I did this as a mini-project within our startup MediSearch ( https://medisearch.io/ ) & the search pipeline is custom tuned for the problem.

Hi, it currently does not support search by PMID. But you can find the paper included in the results here (5th place): https://pubmedisearch.com/share/Do%20some%20individuals%20wi.…

Just looking at stuff like citations and impact factors of journals.

Thanks! It uses a vector search approach. Your query is embedded in a vector space using a language model and we find the closest vector to the query from the PubMed papers. This i…

Hi HN, As a researcher, I often found myself struggling with the limitations of keyword-based search when exploring PubMed papers. To address this, I created PubMed Search ( https:…