From what I understand from my friends working in Finance, this is more of a norm than an exception at the major fund houses today.
For example, see this recent article from Bloomberg- https://www.bloomberg.com/news/articles/2025-02-13/hedge-fun...
For example, see this recent article from Bloomberg- https://www.bloomberg.com/news/articles/2025-02-13/hedge-fun...
High-performing funds may "beat the market" at models, data, fine-tuning, RAG or even figuring out which AI tool should be deployed for which tasks.
What can you really meaningfully change on the large models today? a bit of RAG, some prompting - sure. But that sounds like a much lighter lift compared to the tasks done by large teams of top-tier CS grads in older quants firms.