Instruction Tuning | Teaching LLMs to Follow Instructions
Choosing safer LLMs: From LLM benchmarks to your production agents 🚀
July 21, 2026 | 5PM CEST
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Instruction Tuning
What is Instruction Tuning?
Instruction tuning is supervised fine-tuning of a language model on diverse instruction–response examples so it follows user requests more reliably than a base pretrained model.
Tuned models still need safety evaluation: instruction data can encode biases or weaken refusals. Re-test jailbreaks and policy compliance after every tune.