6 published use cases that name OpenAI Decisions API.
Developed a qbash Task to match company names from call transcripts to a database, utilizing phonetic encoding to refine options. Achieved an estimated model cost reduction of approximately 84% with a minor accuracy tradeoff.
view details →Pip uses live camera feeds to monitor micro climates and traffic in San Francisco, helping runners avoid foggy conditions by rerouting their paths.
view details →A new gym app simplifies workout tracking by using a photo recognition feature to identify exercises. This app aims to enhance the user experience beyond existing options.
view details →A tool has been developed using decision language models to assist scientists in quickly finding relevant research papers. The author also benchmarks Jev and OpenAI's Decisions API in a related article.
view details →Jev is slightly faster than OpenAI's Decisions API, but the difference is not significant for most use cases. The Decisions API offers better accuracy and excels in image classification.
view details →The Sidekick code review team at HubSpot utilizes OpenAI's Decisions API to streamline triage by asking specific questions about pull request properties for quicker evaluations.
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