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Starting with HF models and moving to a large model like GPT3 when the task calls for it is a good approach to take with almost all tasks.
by txtai 4y ago
Starting with HF models and moving to a large model like GPT3 when the task calls for it is a good approach to take with almost all tasks.
- joedevon 4y agoHow about fine tuning testing w/ Davinci and then scaling it down for the other models or HF once you've proven it works. I believe the openai docs propose this approach (minus HF of course)
- rozgo 4y agoThis works well. Starting with bigger models allows us to explore whats possible. I find it easier to scale down from here.
- txtai 4y agoThat's up to you. Many don't want to open an account and pay in order to explore what's possible. There are LLMs available on the HF Hub, such as google/flan-t5-xl.