Significantly improve the accuracy, efficiency, and contextual relevance of your enterprise AI applications. Learn how to fine-tune pre-trained language models on your domain-specific data with Foundry.

Read Unlocking Business Value with Fine-Tuning to explore:

• A hybrid strategy: Combine fine-tuning with retrieval-augmented generation (RAG) to boost accuracy, reduce hallucinations, lower costs, and improve compliance.
• Challenges and limitations: Understand key considerations around data quality, training costs, maintenance, and common pitfalls.
• Benefits: Discover how fine-tuning reduces token usage, accelerates response times, and aligns results more closely with business goals.
• Best practices: Learn how to fine-tune effectively—choose the right method, use high-quality domain data, and validate performance with evaluation loops.