Since launching in June 2023, the AWS Generative AI Innovation Center team of strategists, data scientists, machine learning (ML) engineers, and solutions architects have worked with hundreds of customers worldwide, and helped them ideate, prioritize, and build bespoke solutions that harness the power of generative AI. Customers worked closely with us to prioritize use cases, select the right foundation models (FMs), incorporate responsible AI principles, develop proofs of concept, optimize solutions, and launch them at scale. Today, we are excited to announce the AWS Generative AI Innovation Center Custom Model Program for Anthropic Claude. Starting in Q1 2024, customers can engage with researchers and ML scientists from the Generative AI Innovation Center to fine-tune Anthropic Claude models securely with their own proprietary data.
For most use cases, customers can use the high-performing FMs from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Stability AI, and Amazon, all available in Amazon Bedrock via a single API. Techniques such as prompt engineering, few-shot learning, and RAG can also help customize model responses for your business context and specific tasks without the need for further training. However, some applications will benefit from deeper customization through model fine-tuning. Fine-tuning refers to taking a general-purpose FM and adapting it to improve performance on specific tasks or domains using a relative smaller, but high-quality labeled datasets. Fine-tuning typically results in better performance on specific tasks compared to the base FM. This additional task-specific training helps the model get better at the applications you care about. The resulting models are also unique to the fine-tuning data used, enabling enterprises to develop differentiated solutions based on their private company data sources.
Fine-tuning, aligning, and optimizing Anthropic Claude models for complex tasks and domains requires deep AI expertise. Starting in Q1 2024, customers can engage with a team of experts from the AWS Generative AI Innovation Center and fine-tune Claude models with their proprietary data sources. Our experts will help you scope requirements for model customization, define evaluation criteria, and work with your proprietary data for fine-tuning. We will collaborate with the Anthropic science team and align the fine-tuned models to meet your needs. You can privately access the fine-tuned models directly through Amazon Bedrock, enabling the same API integrations you use today without the need to manage deployments or infrastructure.
To learn more about the program, contact your AWS account team.
About the authors
Sri Elaprolu currently serves as the Head of AWS Generative AI Innovation Center. He leads a large team of machine learning scientists, engineers, and strategists that work with global enterprises and public sector organizations to address challenging problems and opportunities using generative AI. Previously, he led science teams that supported 100s of AWS customers including the NFL, Cerner, NASA, and the U.S. Dept. of Defense leverage AWS AI/ML to drive business and mission outcomes.