Few questions:
1. Can it work with tabular data, images, text and audio?
2. Data preprocessing code is deployed with the model?
3. Have you tested use cases when ML model was not needed? For example, you can simply go with average. I'm curious if agent can propose not to use ML in such case.
4. Do you have agent for model interpretation?
5. Are you using generic LLM or have your own LLM tuned on ML tasks?
Few questions: 1. Can it work with tabular data, images, text and audio? 2. Data preprocessing code is deployed with the model? 3. Have you tested use cases when ML model was not needed? For example, you can simply go with average. I'm curious if agent can propose not to use ML in such case. 4. Do you have agent for model interpretation? 5. Are you using generic LLM or have your own LLM tuned on ML tasks?