Summary of The Case For Developing a Foundation Model For Planning-like Tasks From Scratch, by Biplav Srivastava et al.
The Case for Developing a Foundation Model for Planning-like Tasks from Scratch
by Biplav Srivastava, Vishal Pallagani
First submitted to arxiv on: 6 Apr 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: None
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary This paper explores the potential of Foundation Models (FMs) in planning-like (PL) tasks, which involve generating a series of actions to achieve intended goals. While FMs have shown promise in Automated Planning and Scheduling (APS), there is a need for a comprehensive FM designed specifically for PL tasks from scratch. The authors argue that such an FM will enable new and efficient avenues for solving PL problems. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper talks about special kinds of artificial intelligence called Foundation Models. They’re super useful for planning things, like making a schedule or a to-do list. But researchers want to know if these models can also help with other tasks that involve making a series of actions to achieve a goal. The authors think that creating a new type of Foundation Model just for this kind of task could be really helpful. |
