Chain of Thought Prompting Boosts LLM Performance

If you’ve been following AI news lately, you might have heard about the “strawberry test”. It’s a simple question that stumps many AI models: How many R’s are in the word “strawberry”? This seemingly easy task highlights some interesting limitations in large language models (LLMs). Prefer a video version of this blog post? Watch below: Why is counting so hard for LLMs? To understand why this simple task is challenging for AI, we need to look at how Large Language Models work. LLMs don’t read language the way humans do. Instead, they’re essentially very sophisticated word prediction machines. When given […]

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