Fine-tuning ChatGPT is costly and unpredictable
MLOps2 posts from 2 people2d active+00 posts in the last 7 days, 1 the 7 days before (fading)Unverified
Posts per day
The posts behind it
2, newest first...with a relevant judge prompt produces relatively believable results. At the same time, I struggle to trust it to generalize. I’ve read that Jev does classification across many domains and is also powered by an LLM back-end? What separates it from my above approach outside of...Hacker News comments · randysalamiOpen ↗Qwen3-VL 8B on a laptop vs Opus 5.5 / Sonnet 5 / GPT-5.6 on 137 messy documents: beat GPT-5.6 on tax forms, lost badly on Indian date formats[R].... Prompts, keys, scorer tests and every raw output: https://github.com/TashonBraganca/messy-docs-bench .r/MachineLearning · u/NegotiationKey7184Open ↗
Companies and products named
About this problem
Evidence
2 posts from 2 people in 2 places, about 1 a week over 13 days. Mostly on r/MachineLearning, Hacker News comments. Tools named alongside: Claude, Qwen, Ollama, GitHub.
Frustration Frustration 0 of 3· Seen on Reddit, Hacker News
How it was grouped
Posts that state a pain and match the "fine-tuning" rule about ChatGPT. First post Sep 28, 2026, latest Oct 10, 2026. Unverified: fewer than 3 posts, or one person or place only. Method
The same problem elsewhere
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History
steady to fading
Fine-tuning ChatGPT is costly and unpredictable (2 posts)