How LLMs Follow Instructions: Skillful Coordination, Not a Universal Mechanism

1. 1Investigate instruction tuning and its effects on LLMs through diagnostic probing
2. 2Analyze the results across diverse tasks and models to identify patterns and trends
3. 3Evaluate the evidence for and against a universal mechanism for instruction-following in LLMs
4. 4Consider the implications of skillful coordination versus a universal mechanism for LLM development and application

AI researchers and engineers benefit from understanding the underlying mechanisms of LLMs to improve their performance and applicability, while product managers and entrepreneurs can leverage this knowledge to develop more effective AI-powered products

💡 Instruction-following in LLMs relies on compositional skill deployment rather than a universal mechanism

💡 LLMs follow instructions through skillful coordination, not a universal mechanism!