The `logprobs` feature has been officially introduced in the Gemini API on Vertex AI, provides insight into the model’s decision-making by showing probability scores for chosen and alternative tokens. This step-by-step guide will walk you through how to enable and interpret this feature and apply it to powerful use cases such as confident classification, dynamic autocomplete, and quantitative RAG evaluation.
Unlock Gemini’s reasoning: A step-by-step guide to logprobs on Vertex AI
Related Posts
Website to storage contacts data and share it with others. (Django REST API React)
ContactBook helps to storage contacts data and share it with others. I’ve created educational descriptive commits so its…
Laravel Middleware
Introduction Middleware stands as a crucial component facilitating seamless communication and interaction between various layers of an application.…
Passwordless authentication for your website in 5 minutes!
Passwordless authentication using your phone’s fingerprint sensor, or face recognition using your webcam is now possible in the…
