feliixh

5 ms·

1.
by feliixh 1mo ago
I just hacked together https://www.firstbranch.ai in a few days, conversational intelligence for congress hearings. I was talking about healthcare price transparency with a friend. He pointed me to a hearing in congress and I wa
2.
by feliixh 3mo ago
I have been working on https://www.accessmrf.com - a catalog of all American health care prices. Since there's way too much data, I am building a taxonomy and deduplicating it extensively first, with the idea that I can shr
3.
LLMs Put Style over Substance, You Should Put Substance over Style(felixhaba.com)
2 points by feliixh 3mo ago|0 comments
4.
by feliixh 3mo ago
I am working on https://www.accessmrf.com a catalog for all health care prices published by insurers under the Transparency in Coverage rule. I recently wrote a blog post using Min Hashing to estimate that at least 90% of the 1.
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by feliixh 4mo ago
I've been building out https://www.accessmrf.com/sources to index Transparency in Coverage files across insurers in a single place. Most recently I have been looking at the overlap across files using Min Hashing and fo
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by feliixh 1y ago
2,3,8,9
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by feliixh 1y ago
I'm building a catalog for health care price transparency data that aggregates the rates published by all insurers, to put everything in one place and make it easier for developers / researchers to access this data. https:/&
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by feliixh 1y ago
Very useful!
9.
by feliixh 1y ago
I'm building a catalog for health care price transparency data that aggregates the rates published by all insurers, to put everything in one place and make it easier for developers / researchers to access this data. https:/&
10.
by feliixh 2y ago
Great job, I intend to reproduce this on a similar dataset I've been collecting! I will say, it would be great to see the color labeling done on domain url alone, to see how much of the topography of the map is driven simply by the dif
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by feliixh 3y ago
Def a psyop. Classic Catalonian move of seizing independence by writing self determination laws in code and carefully introducing a bug that they can then exploit to secede.
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by feliixh 3y ago
Haha, fair point, what I really meant is that LLMs will translate natural language to code, so building will be mostly in English while debugging will still happen in code.
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by feliixh 3y ago
One thing I think will dominate in the future is to write software documentation geared towards the easy understanding of it by LLMs, with documentation possibly including a fine-tunning dataset with which a model can be tested for proficie
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by feliixh 3y ago
+1
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by feliixh 4y ago
I don't think that's so clear. When you train a deep learning model you are making it extract the gist or insight of many works and then use that pattern to produce new works. While the NN does not experience the work like a human
16.
by feliixh 4y ago
Automate the boring stuff with Python