Pi Copilot

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About This Site

AI platform for building custom evaluation and scoring systems for LLMs. Pi Labs offers an AI-powered platform designed to automatically build evaluation systems (evals) for AI applications, particularly those involving Large Language Models (LLMs) and agents. It enables users to create custom scoring models that precisely match user feedback and prompts, ensuring highly accurate and consistent evaluation. The platform integrates seamlessly with various existing tools and provides a fast, highly accurate foundation model called Pi Scorer for comprehensive metrics, observability, and agent control across the entire AI stack.

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Key Features AI

Core Features
Automatically builds evaluation systems (evals) to match user feedback and prompts.
Provides accurate and consistent scoring, unlike variable LLM-as-judge methods.
Integrates with various tools like Sheets, PromptFoo, GRPO, and CrewAI.
Intelligently identifies what metrics to measure for your application.
Features Pi Scorer, a foundation model that scores more accurately than Deepseek and GPT 4.1.
Offers extremely fast scoring, processing 20+ custom dimensions in less than 100ms.
A single scorer can be used across the entire AI stack (offline evals, online observability, training data quality, model optimization, agent control flows).
32K context window for Pi Scorer.
Currently supports text-only evaluation (other modalities coming soon).
Advantages
Automates the creation of evaluation systems, reducing manual prompt refinement.
Offers superior accuracy and consistency compared to LLM-as-judge methods.
Exceptional speed in scoring, enabling rapid evaluations.
Pi Scorer foundation model outperforms leading models like GPT 4.1 in accuracy.
Extensive integration capabilities with popular AI development and data tools.
Intelligent system that helps users define relevant and calibrated metrics.
Developed by a team with deep expertise from Google Search.
Versatile application across various stages of the AI development lifecycle (evals, observability, training, optimization, control).
Free tier available for initial exploration.
缺点:Currently limited to text-only evaluation, with other modalities still under development.
缺点:Pricing is explicitly stated as still being 'figured out,' which might imply potential changes or lack of long-term stability.

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08-23 09-06 09-21

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