Galadriel Usecases
Created by: Diego Creation date: August 23, 2024 7:40 PM Last edited by: Brandyn Hamilton Last edit: August 24, 2024 9:56 AM
- Define the user’s “Risk Profile” and recommend a portfolio accordingly
- LLM to explain product performance, reasons behind decision, etc
Chat GPT Notes
- On-Chain Decision Execution: Your Python app could use Galadriel to execute the rebalancing decisions on-chain, providing transparency and verifiability.
- Verifiable AI Inference: Galadriel’s teeML (Trusted Execution Environment Machine Learning) could be used to run your reinforcement learning model in a verifiable manner. This could add an extra layer of trust to your AI hedge fund’s decision-making process.
- Data Storage and Retrieval: You could store historical portfolio data and performance metrics on-chain, using Galadriel’s capabilities. This data could then be retrieved and used by your Python app for training and decision-making.
Pertinent Documentation
- Use code interpreter plug in; have it run code to trigger the rebalance function of flask app, it returns the new composition, which is then used to make swaps on chain into new comp
See also: Prizes | Important Rules | Tokenomics