mskar

6 ms·

1.
Does evolution conserve software code like it does genes?(littleleaps.substack.com)
3 points by mskar 4mo ago|0 comments
2.
Why do I still end up over-engineering things?(littleleaps.substack.com)
2 points by mskar 1y ago|0 comments
3.
Am I missing the boat on vector databases for RAG?(littleleaps.substack.com)
2 points by mskar 1y ago|1 comments
4.
by mskar 2y ago
Do you have ideas for what would make a better experiment? The methodology for a literature search comparison, while simple, is the best I could come up with. We developed ~250 multiple choice questions which require a deep dive into a pape
5.
PaperQA2 tops the RAG-QA Arena science benchmark(futurehouse.org)
1 points by mskar 2y ago|1 comments
6.
by mskar 2y ago
We measured PaperQA2 ( https://github.com/Future-House/paper-qa ) against the science portion of the RAG-Arena benchmark ( https://arxiv.org/abs/2407.13998 ), it's the first time we've compa
7.
by mskar 2y ago
Great article, I’ve had similar findings! LLM based “document-chunk” ranking is a core feature of PaperQA2 ( https://github.com/Future-House/paper-qa ) and part of why it works so well for scientific Q&A compared to
8.
The art of developing for LLM users(littleleaps.substack.com)
2 points by mskar 2y ago|0 comments
9.
by mskar 2y ago
This is awesome! If you’re interested, you could add a search tool client for your backend in paper-qa ( https://github.com/Future-House/paper-qa ). Then paper-qa users would be able to use your semantic search as part o
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WikiCrow: An article for every human gene(wikicrow.ai)
2 points by mskar 2y ago|1 comments
11.
by mskar 2y ago
We used an open-source AI RAG library, PaperQA2 ( https://github.com/Future-House/paper-qa ), to generate well cited articles for every gene in the human genome, ~15k of which had no existing prior articles. In terms of
12.
Exchanging more frontier LLM compute for higher accuracy in RAG systems(futurehouse.org)
1 points by mskar 2y ago|1 comments
13.
by mskar 2y ago
We're sharing some experiments in designing RAG systems via the open source PaperQA2 system ( https://github.com/Future-House/paper-qa ). PaperQA2's design is interesting because it isn't concerned with co
14.
by mskar 2y ago
Sure! Here's the output from the video-- The understanding of amyloid-beta's role in Alzheimer's disease has evolved significantly over time: Initially, amyloid plaques were considered the primary cause of Alzheimer's, l
15.
PaperQA2: Superhuman Scientific Literature Search(paper.wikicrow.ai)
6 points by mskar 2y ago|3 comments
16.
by mskar 2y ago
We are announcing PaperQA2 ( https://github.com/Future-House/paper-qa ), the first AI agent to achieve superhuman performance on a variety of different scientific literature search tasks. PaperQA2 is an agent optimized f
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Show HN: PaperQA2, Agentic RAG for Science(github.com)
8 points by mskar 2y ago|0 comments
18.
by mskar 3y ago
Thank you! We spent a lot of time trying to keep the characters on rails. I hope your son enjoys it too!
19.
by mskar 3y ago
You've got a great point! I would also love to do a registration-less version, but the unfiltered access to my LLM client really worries me since API abuse would be so easy. I'll brainstorm some ways to protect against abuse and t
20.
Show HN: Solvethemurders.com – AI murder mystery game(solvethemurders.com)
4 points by mskar 3y ago|6 comments
21.
by mskar 4y ago
Great call, many orgs in health tech use billing/procedure code embeddings to group, just like you're suggesting.
22.
by mskar 4y ago
There is some duplication, where different networks under the same carrier could benefit from normalization, but in-general duplication isn't the primary issue. The data is partitioned for some carriers at the network level, but unless
23.
by mskar 4y ago
It's very expensive, carriers have an economic incentive to simplify it and this is still where they end up. There are a long tail of provider circumstances that the single-payer model will need to figure out. Some examples: * Small ho
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by mskar 4y ago
I work in data at https://www.carrumhealth.com/ , and I've been parsing this data for weeks. The transparency prices allow us to meaningfully negotiate with providers, and make tangible, incremental progress toward chea