It is an open-source platform designed to enhance AI development by providing tools for tracing, evaluating, and optimizing large language model (LLM) applications in real time.
It is an open-source platform designed to enhance AI development by providing tools for tracing, evaluating, and optimizing large language model (LLM) applications in real time. Phoenix leverages OpenTelemetry (OTEL) to ensure seamless setup, full transparency, and freedom from vendor lock-in, allowing users to start, scale, or transition their projects without restrictions. The platform enables developers to collect LLM app data effortlessly through automatic instrumentation or manually for greater control.
Phoenix offers an evaluation library with exceptional speed and usability, featuring pre-built templates that can be customized for any task or integrated with human feedback. It uses embeddings to identify semantically similar questions, document chunks, and responses, helping isolate areas of poor performance. Built on OpenTelemetry, Phoenix is vendor-, framework-, and language-agnostic, providing flexibility in today’s generative AI landscape.
The platform supports running model tests, leveraging pre-built templates, and incorporating human feedback, enabling faster fine-tuning and customization for any project. It provides application tracing for total visibility, an interactive prompt playground, and streamlined evaluations and annotations. Phoenix is compatible with all LLM tools, making it a versatile solution for AI developers seeking to accelerate their development process with powerful insights. It is free, flexible, and transparent, ensuring users can experiment, evaluate, and optimize their AI applications effectively.
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