InstructLab
Open-source approach for aligning and fine-tuning LLMs with community-driven skills and knowledge.
Official website / GitHub ↗ Visit
What is this technology for?
Its role in production environments and why it is taught in our curriculums.
InstructLab is the open-source approach for aligning and fine-tuning LLMs: community-driven skills and knowledge are added to Granite models through taxonomy-based training.
What you will learn
The hands-on skills you will gain on this technology in our curriculums.
- Contribute skills and knowledge to a model taxonomy
- Generate synthetic training data
- Fine-tune Granite models locally
- Evaluate model improvements after tuning
Latest News & Ecosystem Updates
Recent innovations, major releases, and key industry milestones in the ecosystem.
InstructLab 2.0: Continuous LLM Alignment with Synthetic Data
Empowers enterprises to inject domain knowledge and skills into open-source models in hours using modest compute.
InstructLab Embedded into RHEL AI for Sovereign Enterprise Fine-Tuning
Democratizing fine-tuning on Granite and Llama models without vendor lock-in to proprietary cloud APIs.
Featured in the curriculum
Find this technology in the following modules of our Red Hat certified curriculums.
AS300 — AI Platform Engineer
View curriculum →
GenAI Fundamentals + Granite + RHEL AI
AI296 · Module 8 — AS300
