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.
Related Posts
Is Data Struct about memory?
A principle that I try to follow is to think about obvious concepts. Since we are introduced to…
Python ile basit bir MCP Sunucu-İstemci örneği
LLM’lerin araçlarla etkileşimi konusunda önemli bir adım olan MCP için python üzerinde en temelde FastMCP aracı kullanılmakta. Tabi…
How to use Elm extensible records
WHAT? Sample code for declaring and using Elm flexible structures to extend records with more fields dynamically and…