Inspiration

The performance of Gemini 1.5pro generating invaluable recommendations for Maxint users.

What it does

Analyzes financial services and user data to provide relevant insights.

How we built it

We've built algorithms to analyze financial data and then we compared the results by prompting Gemini 1.5pro.

Challenges we ran into

To tune and build a custom model we had to use 1.0pro

Accomplishments that we're proud of

The limited time it took us to bring to production a highly performant recommendation/chat system, compared to the algorithm based system we had in the past.

What we learned

Constraints and limitations of 1.5pro.

What's next for Finsight

Integration into maxint.app

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