Compare AI Models in Python Flask Applications — Using LaunchDarkly AI configs
Blog post from LaunchDarkly
The text discusses LaunchDarkly's new AI configs feature, which allows developers to deploy multiple AI models in a single application without redeploying code. The tutorial guides users through setting up an AI config for the DeepSeek R1 model and comparing its results with those of another model, GPT-4o. Users learn how to create and manage AI configs, including defining variations, setting percentage rollouts, and monitoring metrics. The feature aims to reduce risks associated with deploying AI models in production by decoupling configuration changes from deployment.
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