We’re on a journey to advance and democratize artificial intelligence through open source and open science.

HuggingFace's platform is a resource for developers and researchers working in natural language processing (NLP) and machine learning, offering insights into NLP models, tools, and datasets. Through articles, tutorials, and open-source projects, HuggingFace offers insights into state-of-the-art NLP techniques, transformer architectures, and transfer learning methods. Developers can learn about using pre-trained models, fine-tuning strategies, and deploying NLP applications with HuggingFace's libraries and APIs.

Hugging Face

Arize Phoenix offers a comprehensive platform to trace, evaluate, and debug AI agents in real time. It supports tracing agent workflows and evaluating performance using techniques like LLM-as-a-judge. The post provides step-by-step instructions for setting up and running an agent, enabling real-time tracing with OpenTelemetry, and assessing agent performance with Phoenix's evaluation tools.

Trace & Evaluate your Agent with Arize Phoenix