Is Fine-Tuning Still Needed? LLMs, RAG, & LoRA

1위@equan1819 hours ago

These videos are fantastic, and the best education series on AI! Keep these coming!번역 보기

2위@jeffreywhewhetu15 hours ago

With what I just learnt from the video? I think privacy would be one of the major reasons to do fine tuning if you ask me Thank you for updating us on the state of AI via your videos, IBM!!번역 보기

3위@chrismoore480316 hours ago

100% agree with what we’ve seen in the field. The one Case for fine-tuning that I have also seen do well is capturing tone which is used in a specific industry. Your legal example may also be suggestive of this phenomenon. You mentioned that lawyers liked the output of the fine-tune model. Clearly that doesn’t necessarily make the model quantitatively better or worse, but we have seen that fine-tuning captures. The tone of voice used in a field, and it seems to resonate with experts in a way that prompt guidance struggles to capture.번역 보기