Prompt Chemistry: Building "Word Catalysts" to Optimize LLMs
Briefly

The evolution from prompt engineering to prompt chemistry reflects a significant shift in our interaction with AI, treating prompts as compounds that yield richer responses.
Just as H₂O creates properties beyond hydrogen or oxygen, certain word combinations trigger unique AI behaviors, producing results greater than the sum of their parts.
By adopting a perspective of 'prompt chemistry,' we can explore how specific linguistic compounds enhance the cognitive depth of large language models.
The Chain of Thought methodology exemplifies the importance of prompt structure in guiding AI towards deeper reasoning, akin to catalytic processes in chemistry.
Read at Psychology Today
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