LLM observability is defined as the process of monitoring AI systems to ensure that the tokens generated by large language models lead to intended outcomes, effectively turning the 'black box' of AI into a transparent, data-driven process.

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)

• observability concept