Artificial Intelligence (AI) is integrated into our core business processes and daily workflows. You’ve heard the buzz, but how does it work? It’s actually a combination of different technologies. That’s what we’ll break down in this post.
I have divided AI into functional layers and created a tower diagram to guide our discussion.
The technique of Chain-of-Thought (CoT) prompting evaluates the ability of an AI model to break complex problems into a series of logical steps. To validate the integrity and reproducibility of the expected results, two volunteers successfully completed the exercise embedded in this paper, prior to querying several large language models (LLMs).
The technique of Chain-of-Thought (CoT) prompting evaluates the ability of an AI model to break complex problems into a series of logical steps. The essay embedded in this post was applied to generative artificial intelligence (GenAI) models to test their ability to process geometric numerical analysis. Their outputs offer insight into breakthroughs at the forefront AI chatbot development.
