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clint-llm
clint-cli
Python2023–2023
clint-llm / clint-cli

clint-cli

Discover this repository through its Hacker News conversations.

2Distinct people
2Mentions
0Explicit recommenders
1GitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

A public description has not been verified.

Where it is used

No documented product use has been verified yet.

What people are saying

No recommendation phrase was found in the indexed comments.

No classified warning is attached to this page. Read the discussions before treating silence as approval.

Also in these discussions

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This week on Hacker News

Nov 8–Nov 15 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/15/2026, 12:03:30 PM UTC.

No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.

Mentions over time

HN mentions by hour2 dated mentions

Observed mentions: 2023-08-23 23:25:26 UTC to 2023-08-24 00:18:47 UTC.

012023-08-23 23:00:00 UTC to 2023-08-24 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 commentsAug 23, 23:002023-08-24 00:00:00 UTC to 2023-08-24 01:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 commentsAug 24, 00:00

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

View mention counts and date ranges
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PeriodStart (UTC)End (exclusive, UTC)MentionsSubmissionsComments
Aug 23, 23:002023-08-23 23:00:00 UTC2023-08-24 00:00:00 UTC101
Aug 24, 00:002023-08-24 00:00:00 UTC2023-08-24 01:00:00 UTC101

What Hacker News says

1 sources
Dear @garrinm Firstly, thank you for sharing this! We built something like this at work, and i'd love if you could share details on your effort. I tried to follow: https://github.com/clint-llm/clint-cli/blob/main/clint/scrip... but it wasnt clear -- are you indexing the medical literature in entirety or just abstracts? We tried to do this with arXiv and others, but getting commercial rights was difficult and we got stuck on that, could you share which medical literature source you used. I tried to follow the code and it looks like you embed, so i'm assuming you're using RAG, is that it, or are you trying to fine-tune also? I didnt see any fine-tune code. (We didnt fine tune due to cost) Did you benchmark different embedding chunk sizes, etc? (Yes for us! We've tried a matrix search of chunk sizes, including sliding window and found the sw
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eet spot for different types of media, usually a single paragraph) Did you manage to get access to a fine-tuned model like MedPALM and benchmark that? (we are still awaiting access)
In Show HN: Chat with GPT about medical issues, get answers from medical literature

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