🛠 Vals-Smith: Evaluate Models on Your Own Codebase
The Vals platform has introduced Vals-Smith — a tool for automatically creating custom benchmarks based on real GitHub repositories. The system analyzes PR history, extracts bug-fix tasks, and creates an isolated environment with a set of hidden tests to evaluate LLMs on the specifics of your code.
🌍 Moving toward personalized evaluation allows companies to accurately measure model suitability for their unique engineering tasks and automate code QA.
👤 You can now test how well a specific model (e.g., GPT or Claude) handles the architecture of your exact project before deploying it.
Source 1: https://www.vals.ai/vals-smith Source 2: https://www.vals.ai/vals-smith/linux