Some AI models follow directions much better than others because they've been specifically trained on human feedback and examples of good instruction-following during their development. This tuning teaches a model to prioritize understanding what a person actually wants over just predicting statistically likely text.
Instruction tuning is a training process where AI models are fine-tuned on large sets of human instructions and desired responses, making them significantly better at understanding and following direct requests rather than simply predicting the next word.
This concept helps you understand why newer AI assistants feel more cooperative and responsive than older models, and how to phrase your requests in ways that align with how instruction-tuned models are designed to respond.
Peri can explain this concept, give practical examples, help you decide whether it applies to your situation, or recommend a journey if appropriate.
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