Humanoid robots are advancing at a rapid pace. Each new model can do more things. We might see these robots walking around doing many tasks in 10 or 20 years.
Researchers at ICML 2024 introduced a new method to improve large language models (LLMs). This method is called Plan Like a Graph. It helps LLMs plan tasks better without needing more training.
The idea is to make LLMs handle complex tasks more like humans. Humans can do many steps at once. For example, making breakfast may involve grinding coffee beans, frying an egg, and toasting bread. Some steps depend on others. You must grind coffee beans before brewing coffee.
Plan Like a Graph tells the LLM to make a graph of tasks first. The graph shows which tasks can happen at the same time and which ones must wait. This helps the LLM complete tasks faster. Researchers found that this method outperforms other methods.
This improvement is crucial because current LLMs struggle with planning. Planning involves doing many steps in the correct order. For example, if you bake a cake, you need to preheat the oven first. A robot might wait 10 minutes after preheating before doing anything else. A human would use that time to prepare other ingredients.
With Plan Like a Graph, the LLM can plan like humans. It divides tasks into smaller steps and figures out which steps depend on others. This makes the LLM more efficient. It can do more in less time.
This new method shows that LLMs still have untapped potential. We are still finding new ways to make them better. Every improvement brings us closer to LLMs that can do complex tasks more like humans.
In summary, the future of robots and LLMs looks bright. With methods like Plan Like a Graph, these models will become more capable. They will handle tasks that seemed too complicated before. The advancements will change how we interact with technology in our daily lives.