Microsoft Drops TaskMatrix.AI

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TaskMatrix.AI is an AI ecosystem that can connect foundation models with millions of APIs for task completion. Unlike most previous work that aimed to improve a single AI model, TaskMatrix.AI focuses more on using existing foundation models (as a brain-like central system) and APIs of other AI models and systems (as sub-task solvers) to achieve diversified tasks in both digital and physical domains. Visual ChatGPT is just an example of applying TaskMatrix.AI to the visual domain.

The rate of progress here is dizzying. This is a new arms race. I wonder how effective TM.AI will be.

Artificial Intelligence (AI) has made incredible progress recently. On the one hand, advanced foundation models like ChatGPT can offer powerful conversation, in-context learning and code generation abilities on a broad range of open-domain tasks. They can also generate high-level solution outlines for domain-specific tasks based on the common sense knowledge they have acquired. However, they still face difficulties with some specialized tasks because they lack enough domain-specific data during pre-training or they often have errors in their neural network computations on those tasks that need accurate executions. On the other hand, there are also many existing models and systems (symbolic-based or neural-based) that can do some domain-specific tasks very well. However, due to the different implementation or working mechanisms, they are not easily accessible or compatible with foundation models. Therefore, there is a clear and pressing need for a mechanism that can leverage foundation models to propose task solution outlines and then automatically match some of the sub-tasks in the outlines to the off-the-shelf models and systems with special functionalities to complete them. Inspired by this, we introduce this http URL as a new AI ecosystem that connects foundation models with millions of APIs for task completion. Unlike most previous work that aimed to improve a single AI model, this http URL focuses more on using existing foundation models (as a brain-like central system) and APIs of other AI models and systems (as sub-task solvers) to achieve diversified tasks in both digital and physical domains. As a position paper, we will present our vision of how to build such an ecosystem, explain each key component, and use study cases to illustrate both the feasibility of this vision and the main challenges we need to address next.

https://arxiv.org/abs/2303.16434

https://github.com/microsoft/visual-chat...kMatrix.AI

Thoughts? Are we moving too fast? Is this rapid pace of advancement dangerous? Should we be concerned?
Or is this amazing because AI will change the world and improve quality of life across the globe?

IF YOU DON'T DRINK STARBUCKS AND POST IT TO YOUR INSTAGRAM,
YOU'RE A BROKIE. DON'T TALK TO ME.

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