Model Evaluation & LLM Solutions

See how you can connect custom large language models (LLMs) to enterprise data to deliver accurate responses for your artificial intelligence (AI) applications with NVIDIA on AWS.

Learn how to increase efficiency, reduce costs, and improve risk mitigation in financial services by streamlining critical business tasks with AI21 Labs’ models on AWS. 

See how you can seamlessly deploy Cohere’s large language models (LLMs) at scale on AWS to perform repetitive tasks, such as copywriting and text summarization, with greater accuracy and speed. 

See how you can fast-track your generative AI project from concept to reality with Anthropic’s Claude models in Amazon Bedrock. In this session, we’ll share guidance on how to streamline AI deployment, ensure scalability, and maintain compliance.

Hear leaders from AWS and Arthur AI share why model evaluation is important for both business and technical teams. Learn innovative strategies, understand the importance of model selection, model flexibility, financial and budgetary strategies, and model evaluation criteria in our upcoming webinar.

Discover the key benefits of generative AI such as enhancing customer experiences, boosting employee productivity and creativity, and optimizing business processes. We discuss challenges of adoption and provide strategies for harnessing the advantages of generative AI while ensuring privacy, security, and avoiding unwanted content. The eBook explores real-world use cases and gives you a starting point with AWS Marketplace to find trusted generative AI solutions that can be quickly deployed.

In this eBook, we share key considerations that will help you select the right foundation model to meet your business needs. You will learn more about model evaluation criteria, model selection, cost containment strategies, and the importance of model transparency.