tiendil

4 ms·

1.
Tag normalization in automatic tagging sysems(blog.feeds.fun)
3 points by tiendil 1y ago|1 comments
2.
by tiendil 1y ago
Hi! I work on an open-source news reader that automatically tags articles (LLMs are involved). Based on my experience, I wrote a post about the challenges of automatic tagging and my approach to overcoming them. I think it might be interest
3.
by tiendil 1y ago
These days, it's nearly impossible to find a good game that can't be criticized for something. The Witcher, Doom, Fallout, Baldur's Gate, Diablo, Cyberpunk, GTA, Counter-Strike, etc. — all these games can be accused of anythi
4.
by tiendil 2y ago
You are reading my mind :-) This is precisely what I plan to do next (this month if everything goes smoothly).
5.
by tiendil 2y ago
Hi HN! For a long time, I'd been looking for a news reader that could filter out noise and surface only stories that really interest me. I couldn’t find one, so I built it myself. That's the way, right? :-D In my case (over 1000 n
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Show HN: Open-source RSS reader with LLM-based tags and scoring to filter noise(feeds.fun)
4 points by tiendil 2y ago|3 comments
7.
by tiendil 2y ago
Rumors are rumors. 1. Positive rumors are profitable => they are targets for marketing activities, especially when huge money is at stake. 2. Humanity has a long history of false "fast technological success" rumors: thermonucle
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My subjective notes on the state of AI at the end of 2024
5 points by tiendil 2y ago|4 comments
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Fun case of speeding up data retrieval from PostgreSQL with Psycopg(tiendil.org)
1 points by tiendil 2y ago|0 comments
10.
by tiendil 2y ago
Thanks! It is difficult to tell in quantitative terms how much better the results become. I have a tool to measure the quality of prompts in the project, but it is more oriented to detecting critical degradation of results rather than compa
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Prompt engineering: building prompts from business cases(tiendil.org)
3 points by tiendil 2y ago|2 comments
12.
by tiendil 2y ago
Here is mine: You should respond according to the next algorithm: 1. List 3 areas of the problem (e.g., "game prototype development.", or "quantum physics.") 2. Define your role as an expert in these areas (e.g.