Monitoring LLMs: Track Performance & Detect Issues
One of the most specific and dangerous challenges in implementing large language models is hallucinations – situations where the model generates factually false information while presenting it extremely confidently and convincingly. In a business context, this creates direct risks:
* providing customers with non-existent discounts or erroneous instructions.
* generating content that violates
