Prism Eval: A Data-Driven Workflow for Prompt Evaluation & Optimization скачать в хорошем качестве

Prism Eval: A Data-Driven Workflow for Prompt Evaluation & Optimization

🚀 About Prism Eval Prompt engineering shouldn't feel like black magic. Prism Eval is an open-source tool designed to help developers and AI Product Managers move from "vibe-based" testing to data-driven evaluation. Whether you are building a children's story editor or a complex enterprise bot, Prism Eval provides a structured 6-step workflow to generate, fine-tune, and evaluate prompts across multiple LLMs including DeepSeek, OpenAI, Claude, and Gemini. ✨ Key Features Multi-Model Support: Seamlessly switch between different models for generation and evaluation. Human-in-the-Loop: Every prompt (business & evaluation) is fully editable before batch processing. North Star Metrics: Define what success looks like—be it Creativity, Accuracy, or Tone. Visual Analytics: Use our Radar Charts to visualize performance across multiple dimensions. Transparent Reasoning: Don't just get a score; understand why the model gave it. 🛠️ Tech Stack Built with Streamlit for a smooth, interactive UI. Supports latest models like DeepSeek-Reasoner (R1) and GPT-4o. 🔗 Links Try out:https://prismeval.streamlit.app/ GitHub Repository:https://github.com/Nyota-tree/PrismEval Feedback & Collaboration: If you have ideas for "Context Engineering" or Evals, feel free to open an issue! ⭐ Support Us If this tool helps your workflow, please give us a star on GitHub! It helps more builders discover Prism Eval. #AI #PromptEngineering #LLM #DeepSeek #OpenSource #ProductManagement #AIEvals #PrismEval