From the deployment side, I can see a similar use case for astrology and agony aunt columns! A tougher bet will be to draft teams for fantasy cricket/football games.
From the user side, how to prove efficacy will be the challenge worth solving. The predecessor did it based on reputation. That may not be easy to replicate in the LLM world.
From the deployment side, I can see a similar use case for astrology and agony aunt columns! A tougher bet will be to draft teams for fantasy cricket/football games.
From the user side, how to prove efficacy will be the challenge worth solving. The predecessor did it based on reputation. That may not be easy to replicate in the LLM world.
Great article as always. Coincidentally, I head growth for a startup that is doing just this - making an investing related LLM - rafa.ai.
Our AI is more refined for finance and also gets you real time financial data ranging from news of fav stock, stock performance to live options flow.
We only support the US markets but will be expanding to India soon.
That's amazing. This is the future, undeniably.