Bias is a systematic inclination or prejudice for or against something. In the context of Machine Learning and AI, bias typically manifests as contextually incorrect responses, where the model shows a preference for certain data clusters over others. Essentially, it results in the AI not providing accurate or fair outputs.

The "Tree of Thoughts" (ToT) is an approach that enhances decision-making and problem-solving capabilities. This method offers a more comprehensive and flexible approach compared to the traditional "Chain of Thoughts" (CoT).

Let's delve into the key differences between these two approaches and explore how ToT can be integrated with multi-modal designs to unlock new possibilities.

You have probably heard of prompt engineering, but what about Prompt Flow?