Want your LLM to actually follow instructions instead of just babbling?

Instruction Fine-Tuning (IFT) is the secret sauce that transforms generic language models into obedient AI assistants.

This deep dive reveals the architectural wizardry behind getting models to balance creativity with compliance, explores clever data preparation tricks that can generate massive training datasets automatically, and unveils the techniques that prevent your freshly-tuned model from suffering amnesia about everything it learned before.

Bottom line: if you’ve ever wondered how to get from “my model sometimes does what I want” to “my model consistently nails exactly what I asked for,” this article has your answers.

Read the full article → neptune.ai