In this demo video, we will showcase how you can privately and securely customize foundation models (FMs) with your data in Amazon Bedrock to build applications that are specific to your domain, organization, and use case. With fine-tuning in Amazon Bedrock, you can increase model accuracy by providing your own task-specific labeled training dataset and further specialize your foundation models.
What is Amazon Bedrock?
Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, and Amazon through a single API, along with a broad set of capabilities you need to build generative AI applications with security, privacy, and responsible AI.
Detailed Steps on Fine-tuning and Continued Pre-training in Amazon Bedrock: https://aws.amazon.com/blogs/aws/customize-models-in-amazon-bedrock-with-your-own-data-using-fine-tuning-and-continued-pre-training/
Creating custom models in Amazon Bedrock: https://docs.aws.amazon.com/bedrock/latest/userguide/custom-models.html
Learn More about Amazon Bedrock: https://go.aws/427KTcy
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