Recent Blog ArticlesNewest TopicsMost LikesTagged:TagUsing Structured Outputs in Azure OpenAI’s GPT-4o for consistent document data processing Learn how ISVs and Startups leverage GPT-4o’s Structured Outputs to ensure reliable, schema-compliant document data processing. Evaluating the quality of AI document data extraction with small and large language models Evaluating the effectiveness of AI models in document data extraction. Comparing accuracy, speed, and cost-effectiveness between Small and Large Language Models (SLMs and LLMs). Using Azure AI Document Intelligence and Azure OpenAI to extract structured data from documents Addressing the challenges of efficient document processing, explore a novel solution to extract structured data from documents using Azure AI Document Intelligence and Azure OpenAI. Implementing MLOps for Training Custom Models with Azure AI Document Intelligence Addressing the challenges of effectively maintaining custom models in Azure AI Document Intelligence, this article explores adapting the concepts of MLOps into your delivery strategy. The goal is to ...Identifying drift in ML models: Best practices for generating consistent, reliable responses Addressing the challenges of model drift is crucial for successful deployments of reliable, production-ready machine learning models. Explore insights into monitoring and mitigating model drift, with...Strategies for Optimizing High-Volume Token Usage with Azure OpenAI Addressing the challenges of building AI solutions with high-volume token usage, explore strategic recommendations for overcoming token limits, optimizing model deployments, and practical techniques ...
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