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
Built With
- dart
- flutter
- gcp
- postgresql
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