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Necessity of Tuning for Instruction Following
While prompting is a powerful method for adapting large language models through in-context learning, it is often insufficient on its own. Additional tuning efforts are typically required to ensure that the models can accurately and consistently follow user instructions.
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Foundations of Large Language Models
Ch.1 Pre-training - Foundations of Large Language Models
Foundations of Large Language Models Course
Computing Sciences
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Example of Instruction Following: Summarization
A user provides a language model with the following prompt: 'List the three most common states of matter. Then, in a separate, single sentence, explain why gases do not have a fixed shape.' Which of the following model responses best demonstrates a complete and accurate adherence to the user's instructions?
Evaluating LLM Instruction Adherence
Analyzing an LLM's Instructional Failure
Necessity of Tuning for Instruction Following
Prompting Without Structural Adaptation