> ## Documentation Index > Fetch the complete documentation index at: https://docs.coreweave.com/llms.txt > Use this file to discover all available pages before exploring further. # Get Started with Weights & Biases > Choose a quickstart for tracking ML experiments or tracing LLM applications with Weights & Biases Weights & Biases tracks, visualizes, and compares your machine learning experiments. It includes W\&B Weave, which traces and evaluates LLM applications. Choose the quickstart that matches what you're building. | If you're | Start with | Key features | | - | - | - | | Training or fine-tuning ML models | [Track ML experiments](#track-ml-experiments) | Experiment tracking, hyperparameter optimization, artifacts, visualizations | | Tracing and evaluating existing models and applications | [Trace LLM applications](#trace-llm-applications) | Tracing, prompt management, evaluation, cost tracking for production AI apps | ## Track ML experiments The "hello world" of W\&B, which guides you to logging your first data. A full-fledged tutorial that walks through experiment tracking, Registry, and reports using a real ML experiment. A video-led course that emphasizes experiment tracking and features quizzes to ensure comprehension. Learn how to use W\&B to track experiments, manage artifacts, and optimize models through hands-on tutorials. ## Trace LLM applications Learn how to decorate your code so that calling into an LLM logs Weave traces and sets you on the path of a perfect LLM workflow. A full-fledged tutorial that shows Weave doing real-world evaluation of the performance of various models hosted by Serverless Inference Learn how to use Weave to trace, evaluate, and debug LLM applications and how to use Weave to build production-ready LLM applications. ## Related topics - [Get Started with Weights & Biases](/products/wandb/models_quickstart.md)