Mini AGI can be created in two ways: one large model with a breakthrough that can take the current transformer to the next level. Or multi-models with different abilities that work to achieve user tasks and break into multiple steps.
The second option is more achievable in the short term, for this, I create a framework that uses graph theory to navigate the AI models as multiple tasks and handle the relations between different models.
The second option is more achievable in the short term, for this, I create a framework that uses graph theory to navigate the AI models as multiple tasks and handle the relations between different models.
This example shows how to create a data science teaching assistant using open-source Gemma and stable diffusion: https://www.kaggle.com/code/jaguar00/data-science-teaching-a...
This article describes the concept in detail: https://towardsdatascience.com/graph-theory-to-harmonize-mod...