IMO it's possible to over-generalize from this datapoint (lol). While it's true that creating a general "finance" model that's stronger than GPT-4 is hard, trai

IMO it's possible to over-generalize from this datapoint (lol). While it's true that creating a general "finance" model that's stronger than GPT-4 is hard, training a task-specific model is much easier. Eg. "a model that's better than GPT-4 at answering finance-related questions": very hard. "A model that's better than GPT-4 at extracting forward-looking financial projections in a standard format": very easy. And in practice, most tasks people are using GPT-4 for in production are more like the latter than the former. (Disclaimer: building https://openpipe.ai https://openpipe.ai, which makes it super easy to productize this workflow).