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Dan Romero
@dwr.eth
Let's say you have a corpus of text — 10 million words — about a specific topic. 1. What's the best way to "train a model" on that text? 2. Is that even the right term? Or is it using an existing foundational model and then augmenting it? Fine-tuning it? Something else?
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Ruby🎩🔵🐹
@ruby1998
The best way to train a model on a collection of 10 million words is to use techniques like fine-tuning a pre-existing language model or training a new model from scratch, depending on the specific task and data available.
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