The pipeline supports multiple forecast horizons (1, 7, 30, 60 days) and includes tools for data analysis, feature engineering, and performance evaluation. For model fine-tuning, I utilized the code ...

今月は、Azure AI Foundry’s Fine-tuning に多数のアップデートがありました。特に Evaluations suite からの新機能が充実しています。 RFT (強化学習によるファインチューニング) は、リファレンスデータと照合した出力を reward model (grader) (報酬モデル)でスコアリングし ...

A Python toolkit that automates the process of testing and benchmarking AI chatflows built with Flowise. It lets you create test datasets, define pass/fail criteria, run evaluations across one or more ...

Abstract: This study evaluates leading generative AI models for Python code generation. Evaluation criteria include syntax accuracy, response time, completeness, reliability, and cost. The models ...