TheSequence - Edge 341: What is Prompt-Tuning?
Was this email forwarded to you? Sign up here 💡 ML Concept of the Day: What is Prompt-Tuning?Last week we explored prefix-tuning as one of the techniques that can be used to optimize foundation models without the need of complete fine tuning. A very popular alternative to prefix-tuning that shares the same principles is known as prompt tuning or p-tuning. Prompt-tuning sits somewhere between prompt engineering and fine-tuning. Unlike prompt engineering, p-tuning doesn’t require constant refinement of prompts in order to achieve a specific outcome. Relative to fine-tuning, p-tuning doesn’t require modifying the weights of the model... Subscribe to TheSequence to read the rest.Become a paying subscriber of TheSequence to get access to this post and other subscriber-only content. A subscription gets you:
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Edge 339: What is Prefix-Tuning
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One of the simplest ways to fine-tune LLMs
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