Fine-tune pre-trained models to your business needs with Microsoft Foundry
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.
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