Has anyone tried fine-tuning on framework-specific toolsets?

<!-- SC_OFF --><div class="md"><p>I know fine tuning models can be very highly rewarding, is there any local models specifically fine tuned for openclaw or etc use cases ?</p>

<!-- SC_OFF --><div class="md"><p>I'm trying to create a fine-tuned model for my SaaS and services. I get kind of the gist, but I'm looking for specific material or

<!-- SC_OFF --><div class="md"><p>Fine-tuning an LLM for Japanese translation of legal documents like birth certificates, relationship certificates, character certificates,

<!-- SC_OFF --><div class="md"><p>Hi folks, </p> <p>I am kind of new to fine tuning a model. I don't know how to fine tune. </p> <p>Now our team have to fine tune a model on one

<!-- SC_OFF --><div class="md"><p>I’ve been exploring how to build a fully on-prem document AI pipeline for handling confidential data — no cloud APIs, no external processing.</p>

<!-- SC_OFF --><div class="md"><p>I have a big database of local court decisions with a legal sentence which is like a paragraph summary of the doc.</p> <p>I've been tinkering

<!-- SC_OFF --><div class="md"><p>I used to be all-in on cloud APIs. For any side project, I’d just grab an OpenAI or Anthropic key and not think twice. It was convenient. No

<!-- SC_OFF --><div class="md"><p>Hi, I'm an ML person, that's been doing a bit more engineering and a bit less research for a while. And now for a thesis I'm researching models