AI & Machine Learning

Prompt, Context, Graph, Harness: The Way We Talk to LLMs Keeps Changing

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The term "harness engineering" has emerged as a new approach in AI development, emphasizing that language models require an integrated system of tools and context to function effectively in real-world scenarios. This shift recognizes that raw intelligence alone is insufficient for practical applications, necessitating a robust framework around the model to ensure reliability and functionality. Developers must now focus on creating comprehensive environments that guide and correct AI behavior, moving beyond earlier methods like prompt or context engineering.

Read the full article at Towards AI - Medium

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