Turn Your VS Code Into A Generative AI Prompt IDE for RAG Applications
AI Summary
Summary: Interview with Samad from Last Mile AI
- Guest: Samad, from Last Mile AI, a NYC-based startup focused on ML and data science developer tools.
- Topic: Building generative AI applications using an open-source framework called AI Config.
AI Config Overview
- Purpose: Helps full-stack software engineers, who may not be ML experts, to build generative AI applications.
- Features:
- JSON or YAML format for model prompts, settings, and configurations.
- SDK for integrating configurations into code.
- VS Code extension for rendering AI Config files as a notebook editor.
- Supports various AI models and modalities (text, image, translation, etc.).
Demonstration in VS Code
- Samad showcased the AI Config editor and how to run models like GPT-3.5 Turbo within VS Code.
- He demonstrated a retrieval-augmented generation (RAG) application, focusing on evaluating responses for relevance, coherence, faithfulness, and succinctness.
- The process involves prompt engineering, running models, and evaluating outputs using model-graded evaluation.
Production Use Cases
- AI Config is particularly useful for enterprises needing confidence in production, version control for AI settings, and rapid experimentation.
- It allows for prompt management, separation of concerns between AI and application logic, and collaborative development.
- Enterprises are using AI Config for RAG applications, multimodal use cases, and chaining together different models for cost-effective solutions.
Community and Contributions
- Last Mile AI encourages community feedback and contributions to improve AI Config.
- The project is open source, and they prioritize community input to make the tool more useful for developers.
Contact Information
- Samad is available on the project’s Discord and can be reached via LinkedIn or email for collaborations.
To explore AI Config further, visit the GitHub repository and consider contributing or providing feedback.