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 ...

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 ...

In this tutorial, we demonstrate how to evaluate the quality of LLM-generated responses using Atla’s Python SDK, a powerful tool for automating evaluation workflows with natural language criteria.

Choose the owner, and pick a name for the new repository. [!IMPORTANT] If you want to deploy the evaluation function to Lambda Feedback, make sure to choose the Lambda Feedback organization as the ...

XAI, or Explainable AI, brings about a paradigm shift in neural networks that emphasizes the need to explain the decision-making processes of neural networks, which are well-known black boxes. In XAI, ...

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 ...