fine tuning vs prompting

1 articles · 4 co-occurring · 0 contradictions · 0 briefs

Carr's discussion of post-training custom models on OSS bases is organizational-scale fine-tuning strategy, similar to prompt engineering vs. model updates decision but at enterprise level

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rl environment as context infrastructure 1 retrieval augmented generation 1 knowledge lock in 1 context ownership 1

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@andrew_n_carr: Open question. Could you post train a fable level model on your specific task... example_of

Carr's discussion of post-training custom models on OSS bases is organizational-scale fine-tuning strategy, similar to prompt engineering vs. model updates decision but at enterprise level

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