Tree-of-Thoughts, a Huge Leap for ChatGPT Toward Human-level Thinking
Shaping How AI Thinks
In the realm of human cognition, we often refer to two distinct systems of thinking: “System 1”, which is fast, instinctive, and emotional, and “System 2”, which is slower, more deliberative, and more logical.
These two systems work in tandem to help us navigate the complexities of our world.
Large Language Models (LLMs), like ChatGPT, have made significant strides in mimicking “System 1” thinking, generating human-like text with impressive speed and accuracy.
However, when it comes to the more complex, contemplative “System 2” thinking, these models have historically fallen short... dramatically.
But this could be changing, as a revolutionary new approach, developed by researchers from Princeton University and Google DeepMind, promises to change that by achieving impressive success in tasks where ChatGPT is failing miserably today.
As we delve deeper into the workings of this technique and its implications, you’ll discover why Tree-of-Thoughts could be the key to transforming language models into the general-purpose problem solvers of the future.
This new insight was previously covered in my free newsletter, where I deep dive into the…
