Pi (AI Development Tool) - A toolkit designed for software engineers to optimize AI application development through automated scoring systems and AI optimizers.

## Overview of Pi Pi is an AI development toolkit designed for software engineers. It automates the construction of scoring systems and integrates over 30 AI optimizers to address challenges like inconsistent quality and complex optimization workflows in AI development. Pi aims to improve model iteration efficiency by more than 60%. ## Key Features of Pi Pi offers several key features: - **AI Scoring & Optimization Toolkit**: Provides tools for measuring and optimizing AI system performance. - **High-Quality Search Algorithms**: Optimizes AI, data, and queries for accurate and relevant search results. - **Latest AI Research Integration**: Encapsulates cutting-edge AI research into simple APIs for easy adoption. - **Empowers Software Engineering Teams**: Reduces reliance on ML and data science experts by enabling engineers to handle core AI tasks. - **Decouples Domain Knowledge from Algorithms**: Simplifies interactions with AI and search systems while maintaining flexibility. ## Functionalities of Pi Pi's functionalities include: - **Scoring System**: Evaluates response quality across multiple dimensions. - **Prompt Optimization**: Adjusts prompts manually or automatically for better responses. - **Inference Optimization**: Optimizes request routing based on scoring. - **Model Training**: Supports supervised and reinforcement learning. - **Data Management**: Offers data cleaning and expansion techniques. - **Search Customization**: Enhances search experiences with query processing and ranking. - **Chain Optimization**: Improves model integration and generation workflows. - **RAG Ranking Optimization**: Optimizes retrieval-augmented generation systems. - **Prompt Migration**: Facilitates prompt adaptation for new models or features. ## Accessing Pi Users can access Pi through: - **Dashboard**: Available at [build.withpi.ai](https://build.withpi.ai/dashboard), including a no-login-required playground for quick experimentation. - **Free Trial**: Allows exploration of all ML and data science algorithms. - **API Integration**: Supports deployment in existing systems for large-scale production. - **Support**: For specific challenges, users can contact the team via email at [email protected]. ## Technologies Behind Pi Pi's technical stack includes: - **Frontend**: next.js and Vercel for the playground. - **Training Infrastructure**: Runpod and GCP for GPU training. - **Algorithms**: TRL for training, ModernBert and Llama as base models. - **Cloud Services**: GCP and Azure for calling 4o and Anthropic services. - **Scoring System**: Uses adjustable tree-shaped metrics across 20+ dimensions. - **Optimizers**: Includes redesigned ML techniques like DSPy validators and GRPO reward models. ## Founders of Pi Pi was founded by: - **David Karam (CEO)**: Former Google Product Director, led teams of 200+ engineers. - **Achint Srivastava (CTO)**: Former Google Principal Software Engineer, led teams of 250+ engineers. Both have extensive experience in AI and search engine development, particularly at Google Search and generative AI. ## Additional Resources for Pi Users can explore: - **Community**: Join the Discord community [here](https://discord.com/invite/adh94jZH37). - **Demo Video**: Watch the Loom demo [here](http://loom.com/share/c09a1fda8cdf4003a5664fa9cfbf7804). - **Code & Notebooks**: Access resources at [code.withpi.ai](https://code.withpi.ai/). - **Official Website**: Visit [withpi.ai](https://www.withpi.ai/). ### Citation sources: - [Pi (AI Development Tool)](https://www.withpi.ai) - Official URL Updated: 2025-04-01