Fourwheels2512

4 ms·

1. 1.▲
   by Fourwheels2512 7mo ago

   the DIY version of what ModelBrew.ai does in one click.
2. 2.▲
   by Fourwheels2512 7mo ago

   cool work. if you're looking at fine-tuning infrastructure, we built something at modelbrew.ai that handles the data prep + training + continual learning side — one-click fine-tune with zero catastrophic forgetting across sequential do
3. 3.▲
   by Fourwheels2512 7mo ago

   we do finetuning too. your number one complaint of bad dataset, we solved it by creating a better dataset optimizer than what is available in the market today. we have continual learning where you can train domain B on top of domain A and
4. 4.▲
   by Fourwheels2512 7mo ago

   Interesting take, but what you're describing is sophisticated RAG with a feedback loop. The model's weights never change. It writes better notes — it doesn't actually know more. That works for agentic workflows. But