Freeplay

Freeplay is a tool that helps product teams oversee the full lifecycle of large language model (LLM) product development. It lets teams experiment, test, monitor and optimize AI features for customers, so they can prototype faster, test with confidence, and optimize products.

Among Freeplay's features are:

• Experiment with Prompts: Version and manage prompts, track results, and iterate on prompts and models with or without an engineer.
• Ship Confidently: Run batch tests, use AI auto-evaluations, launch human labeling jobs, and curate test cases from real results.
• Continuously Improve: Monitor and analyze data across environments, get insights to optimize for quality and cost, and use AI and human feedback to score production data.
• Enterprise-Ready: A single pane of glass for the whole team, lightweight developer SDKs, deployment options for compliance needs, and best practices for AI development lifecycle.

Freeplay is designed to help teams work with LLMs, letting them quickly try different models, automate testing and get insights to improve quality and cost. The tool also offers a feedback loop to continually refine AI features.

The project is of particular interest to teams that want to streamline LLM product development, especially those who are finding it a manual and laborious process. Freeplay has already helped companies like Help Scout, which said it cut LLM costs by 75% and sped up development velocity with the tool.

Freeplay is designed for enterprise use, with a rich feature set and deployment options to accommodate compliance requirements. Its lightweight developer SDKs for Python, Node and Java make it easier to integrate. The tool is designed for collaboration among teams, so both technical and nontechnical team members can participate in prompt engineering and AI development.

For companies trying to tweak their service and improve customer satisfaction, Freeplay offers a way to experiment, test and optimize AI features more effectively.

Published on June 14, 2024