@omarsar0: Highly-recommended read. Even with all the research, fine-tuning is such an underexplored problem. Based on what I've s…
Summary
A discussion on the underexplored potential of fine-tuning in AI, with the claim that agentic fine-tuning is on the verge of a revolution, contrasting with the view that fine-tuning is a bet against base model progress.
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Cached at: 07/02/26, 12:15 AM
Highly-recommended read.
Even with all the research, fine-tuning is such an underexplored problem.
Based on what I’ve seen among the top AI-powered orgs, we are on the cusp of a fine-tuning revolution.
Agentic fine-tuning is going to dramatically change things in AI.
rahul (@rahulgs): In many ways, finetuning or RLing a custom model is a bet against model progress and scaling. It’s to choose to say “we don’t think there’s going to be a good enough base model for this task anytime soon, so we’re not going to wait”
with oss release velocity these days, its a
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