Weights & Biases (W&B) is an ML experiment tracking platform that supports LLM applications by allowing users to log prompts, model configurations, and outputs during experiments or production runs.

Authors

• Person: Not available Organization: TTMS
  LLM Observability: How to Monitor AI When It Thinks in Tokens | TTMS

Sources

• LLM Observability: How to Monitor AI When It Thinks in Tokens | TTMS ttms.com TTMS via serper

Referenced by nodes (1)

• machine learning concept