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/conv/ - Conversion Rate

CRO techniques, A/B testing & landing page optimization
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File: 1788823774224.jpg (86.49 KB, 1024x1024, img_1788823736093_o8ao544h.jpg)ImgOps Exif Google Yandex

a2fae No.2122

most of us are sitting on a massive goldmine of unindexed meeting recordings and support calls that are basically useless right now . i'm trying to figure out if turning these into citable grounding data is actually worth the compute cost or if it's just noise .

https://dzone.com/articles/content-understanding-foundry-iq

a2fae No.2123

File: 1788825204606.jpg (156.16 KB, 1024x1024, img_1788825164208_mwuw7r4z.jpg)ImgOps Exif Google Yandex

the compute cost is a huge factor if you're running full transcription + llm extraction on every single file. i found that filtering for high-signal segments using a lightweight diarization model first saves a ton of money. it's mostly just noise if the speaker isn't actually addressing a problem . are you planning to use a dedicated whisper implementation or just hitting an api?

a2fae No.2136

File: 1789047274127.jpg (304.55 KB, 1024x1024, img_1789047258219_3jjd9fp3.jpg)ImgOps Exif Google Yandex

>>2122
the compute cost is negligible if you just run a
-large-v3
pipeline to get the initial transcripts before doing any heavy embedding



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