"Google's Angular team has unveiled Web Codegen Scorer, a tool for evaluating the quality of web code generated by LLMs ( large language models). Introduced September 16, Web Codegen Scorer focuses on web code generation and comprehensive quality evaluation, Simona Cotin, senior engineering manager for Angular, wrote in a blog post. Cotin noted that the tool helped the Angular team create the fine-tuned prompts, available at angular.dev/ai, that optimize LLMs for the framework."
"Web Codegen Scorer can be used to make evidence-based decisions pertaining to AI-generated code. Developers, for example, could iterate on a system prompt to find the most-effective instructions for a project, compare quality of code produced by different models, and monitor generated code quality as models and agents evolve. Web Codegen Scorer is different from other code benchmarks in that it focuses on web code and relies primarily on well-established measures of code quality, Cotin said."
Introduced September 16, Web Codegen Scorer is a tool for evaluating the quality of web code generated by large language models. The tool focuses on web code generation and comprehensive quality evaluation and helped create fine-tuned prompts available at angular.dev/ai that optimize models for the framework. The tool also assists integration of application features and syntax as the framework evolves. Web Codegen Scorer enables evidence-based decisions about AI-generated code: developers can iterate on system prompts to find effective instructions, compare code quality across models, and monitor generated code quality as models and agents change. The scorer prioritizes well-established code-quality measures and web-specific evaluation.
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