Benchmarking customized models on Amazon Bedrock using LLMPerf and LiteLLM
AWS Machine Learning Blog Open foundation models (FMs) allow organizations to build customized AI applications by fine-tuning for their specific domains or tasks, while retaining control over costs and deployments. However, deployment can be a significant portion of the effort, often requiring 30% of project time because engineers must carefully optimize instance types and configure […]Continue reading