Technologies
Amazon Bedrock
Amazon Bedrock is another service from Amazon Web Services that allows companies to create advanced artificial intelligence (AI) applications. It uses various foundation models (FMs) to achieve that. Thanks to Amazon Bedrock, organizations can use the potential of generative artificial intelligence to build applications that achieve different business goals.
What is Amazon Bedrock used for?
Amazon Bedrock offers a selection of foundation models that can, among other things, be used to create applications based on generative AI. Applications developed with the help of Amazon Bedrock can aid organizations in achieving various business goals—from improving customer service to better resource management. However, these aren’t the only uses of Amazon Bedrock.
Creating AI applications with foundation models (FMs)
Amazon Bedrock is a platform that supports small businesses and big corporations in building AI applications using foundation models (FM). The service contains many foundation models from leading technology companies dealing with generative AI. With a single API interface, business owners can choose FM models from companies such as Anthropic, AI21 Labs, Cohere, Meta, Stability AI, or Titan (Amazon’s model). The availability of foundation models depends on the region.
Applications based on generative AI built with Amazon Bedrock can be used to achieve various business goals. The service allows business owners to develop applications and create complex virtual assistants that can complete tasks such as:
- Support of customer service with the client’s internal knowledge bases
- Resource management
- Booking of plane tickets
- Creation of document summaries
- Report generation
- Data analysis from images
Additionally, the entire service works on serverless technology, eliminating equipment and software management costs.
Customization — AI agents tailored to the industry
With Amazon Bedrock, companies can expand the foundation models’ capabilities and tailor applications to their needs. The service allows developers to train foundation models on their own data sets (fine-tuning), allowing them to create a dedicated solution. Thanks to this, the artificial intelligence (generative AI model) can give more specific and precise answers related to the company’s operations.
Using technologies such as RAG (Retrieval-augmented generation), Amazon Bedrock enables developers to create dedicated agents responsible for specific tasks. Agents are powered by data sets provided by the company and use them to complete tasks. This allows them to quickly find the necessary data and give precise answers.
For example, an online store selling electronic equipment with the help of Amazon Bedrock can develop an agent whose goal is to compare products. After linking it with an appropriate database, it can give customers specific and accurate answers.
Amazon Bedrock also offers the option to link agents to create a cohesive network for complex operations. This allows developers to create a comprehensive solution that speeds up and automates the workflow.
Data security and protection against harmful content
The Amazon Bedrock service has built-in protections that ensure the company's data won’t be used to train foundation models. The platform complies with GDPR provisions and the HIPAA standard, guaranteeing that the sensitive data aren’t sold to third parties. The service also automatically masks customer data when creating various summaries.
What’s more, thanks to the Amazon Bedrock Guardrails, developers can implement dedicated protections against generating harmful content (especially handy in applications with generative AI).
The safeguards can be tailored depending on the needs and use cases. They protect artificial intelligence (generative AI) from generating undesirable content that is inconsistent with the company’s operations. The protection includes both the generated content and input data. For example, it can stop the user from prompting the model to generate illegal content or content that is contrary to the application’s purpose.
Built-in model comparison
Amazon Bedrock allows companies to compare models and evaluate their performance and functionalities for a specific use case. The comparison can be done automatically based on built-in AWS metrics or with the help of a human. The platform provides the option to prepare an appropriate workflow for the company’s data analysts or to engage the AWS team to perform the evaluation.
In addition to ready-made metrics, organizations can define their own, such as accuracy, toxicity of answers, or compatibility with the brand voice and tone. Thanks to this, the available models can be compared according to the most important criteria for a specific use case.
Summary
Amazon Bedrock from AWS is a comprehensive platform that allows developers to build applications (e.g., based on generative AI) for various business goals. It speeds up the software development process, and thanks to serverless technology, companies don’t have to worry about providing infrastructure and can focus on creating solutions. Applications made with Amazon Bedrock are effective and safe, making it one of the basic tools for developing applications that use generative AI responsibly.