InstructLab - Key Features and Components of InstructLab

What is InstructLab?

InstructLab is an open-source project from IBM and Red Hat, used for fine-tuning LLMs (large language models).


What must a user provide to fine-tune a model (using SDG)?

Users provide question-answer pairs that represent specific knowledge.


What are the main features of InstructLab? (3)

  • Allows users to add knowledge and skills to LLMs
  • Uses synthetic data to improve the model
  • Enables continuous iteration and improvement of models through community contributions

What are the main steps to using InstructLab? (3)

  • Add new knowledge or skills via YAML files
  • Generate synthetic data
  • Fine-tune the model with new data

How does InstructLab generate synthetic data?

It uses examples provided by users to generate new instances for further training.


How is data organized in InstructLab?

Data is organized in a taxonomic tree structure.


What is taxonomy in the context of InstructLab?

A structure that defines what the model needs to learn, divided into categories and subcategories.


What is a node in the taxonomic structure?

A single element in the tree representing a piece of knowledge or a skill.


What are the main categories in InstructLab's taxonomy?

  • Knowledge
  • Basic skills (foundation skills)
  • Complex skills (composition skill)



InstructLab - What does knowledge data in taxonomy include?

  • Documents
  • Books
  • Manuals

What do basic skills in taxonomy include?

  • Reasoning skills
  • Mathematics
  • Programming
  • Language

What do complex skills in taxonomy include?

Elements that combine multiple components (e.g., currency markets = mathematics + economics).


What are examples of complex skill applications?

An AI tool for financial market analysis (combining knowledge of finance, mathematics, and statistical analysis).


Why is GGUF (model format) used in InstructLab?

It is a format that supports running models on lower-performance hardware.


What is the main fine-tuning technique used in InstructLab?

The main technique used for fine-tuning in InstructLab is SDG.


What does the acronym SDG stand for?

Synthetic Data Generation


How does the SDG technique work?

SDG involves the generation of data by LLMs, which is then used to train other LLMs.


What is the official website of the Red Hat InstructLab project?

https://www.redhat.com/en/topics/ai/what-is-instructlab


Where can I learn more about InstructLab's taxonomy?

https://github.com/instructlab/taxonomy


Where can I learn more about how to creating a custom LLM using InstructLab with RHEL AI?

https://docs.redhat.com/en/documentation/red_hat_enterprise_linux_ai/1.1/html-single/creating_a_custom_llm_using_rhel_ai/index


What does an example yaml file for logical thinking skills look like (SDG)?

https://github.com/instructlab/taxonomy/blob/main/foundational_skills/reasoning/logical_reasoning/general/qna.yaml

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