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GentleNapkin

thanks! Cool that you like the UI since I feel like I'm not very 'artistic' if that makes sense.

No, no RAG. I use Gemini 1.5 Flash as an LLM, and it has a very long context window (1M tokens). Because of that, I can feed the entire transcript into Gemini's context. I feel that's important to get good results.

Should be very little since it uses the actual youtube transcript. I havent noticed any obvious hallucinations.

I do use a cheaper large language model (Gemini 1.5 Flash) due to cost constraints, so theoretically I could get better answers using a more expensive large language model (eg Gemini 1.5 Pro). However, because the answers are limited to the transcript it shouldnt make a big difference.

If you notice any hallucinations do let me know please

Show HN: Ask questions about YouTube videos without watching them

https://www.askvids.com/

Paste any YouTube URL and ask questions like "what are the key points?" or "what did they say about X?"Built this because I was tired of scrubbing through hour-long talks/podcasts to find specific information.Tech stack (I'm a novice so please go light on me lol)Frontend: HTML, CSS, JS (no frameworks) Backend: Python with Flask PostgreSQL for user data and request tracking Auth0 for...

( Read More... | 4 comments | 2 points | on HN )