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How to Instruction Tune a Base Language Model

While LLMs have showcased exceptional language understanding, tailoring them for specific tasks can pose a challenge. This webinar delves into the nuances of supervised fine-tuning, instruction tuning, and the powerful techniques that bridge the gap between model objectives and user-specific requirements. Here's what we'll cover: * Specialized Fine-Tuning: Adapt LLMs for niche tasks using labeled data. * Introduction to Instruction Tuning: Enhance LLM capabilities and controllability

Dmytro Spodarets
Dmytro Spodarets
Dec 11, 2023
Summary

A look at how to instruction-tune a base language model, covering supervised fine-tuning, instruction tuning, and techniques that bridge the gap between model objectives and user-specific requirements, including specialized fine-tuning with labeled data.