Monitoring LLM behavior: Drift, retries, and refusal patterns

The offline pipeline's primary objective is regression testing — identifying failures, drift, and latency before production.
Seeking Alpha

Red Hat Launches the llm-d Community, Powering Distributed Gen AI Inference at Scale

Forged in collaboration with founding contributors CoreWeave, Google Cloud, IBM Research and NVIDIA and joined by industry leaders AMD, Cisco, Hugging Face, Intel, Lambda and Mistral AI and university ...
Crowdfund Insider

BNP Paribas Provides LLM as a Service Platform to Enable Industrialization of Gen AI Use-Cases

To facilitate the development and deployment of generative AI use cases in its businesses and functions, BNP Paribas has designed and deployed an internal LLM as a Service platform. Operated by the ...