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Friday May 16, 2025 TBA
OpenAI's Structured Outputs feature represents a breakthrough in ensuring reliable, schema-compliant outputs from large language models. Through innovative use of context-free grammars and constrained decoding, it enables 100% JSON Schema compliance without complex validation logic. This presentation demonstrates practical implementations of Structured Outputs across various use cases, with live code examples in Python showcasing the structured-logprobs library and best practices for production deployments.
Speakers
avatar for Eric Ness, MS

Eric Ness, MS

Principal Machine Learning Engineer, C.H. Robinson
Eric is a Principal MLE at C.H. Robinson, where he leads innovative AI initiatives to optimize workflows. With extensive experience in supply chain technology, he blends technical expertise with strategic thinking to drive business impact.
Friday May 16, 2025 TBA

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