Microsoft's Copilot Tuning enables customers to leverage low-code tools for fine-tuning AI models with enterprise data. Industry-focused AI systems are designed to minimize issues like hallucinations found in general models, aligning better with specific business operations. Microsoft's strategy aims to simplify fine-tuning for businesses by capturing unique internal processes, terminology, and styles. Ernst & Young is an early adopter, integrating a tax-domain fine-tuned model with its expertise, enhancing service quality and streamlining research through M365.
Ranveer Chandra emphasized that traditional AI tools using general large language models may not capture the unique processes and terminology of specific businesses, which can hinder performance.
Marna Ricker highlighted that by integrating a fine-tuned LLM with enterprise knowledge, Ernst & Young can significantly enhance service quality in tax and legal research, streamlining access to intelligence.
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