When we launched Amazon Q Business in April 2024, we also previewed Amazon Q Apps. Amazon Q Apps is a capability within Amazon Q Business for users to create generative artificial intelligence (generative AI)–powered apps based on the organization’s data. Users can build apps using natural language and securely publish them to the organization’s app library for everyone to use. After collecting your feedback and suggestions during the preview, today we’re making Amazon Q Apps generally available. We’re also adding some new capabilities that were not available during the preview, such as API for Amazon Q Apps and the ability to specify data sources at the individual card level. I’ll expand on the new features in a moment, but let’s…
Month: July 2024
Customize Amazon Q Developer (in your IDE) with your private code base
Today, we’re making the Amazon Q Developer (in your IDE) customization capability generally available for inline code completion, and we’re launching a preview of customization for the chat. You can now customize Amazon Q to generate specific code recommendations from private code repositories in the IDE code editor and in the chat. Amazon Q Developer is an artificial intelligence (AI) coding companion. It helps software developers accelerate application development by offering code recommendations in their integrated development environments (IDE) derived from existing comments and code. Behind the scenes, Amazon Q uses large language models (LLMs) trained on billions of lines of code from Amazon and open source projects. Amazon Q is available in your IDE, and you can download the…
Agents for Amazon Bedrock now support memory retention and code interpretation (preview)
With Agents for Amazon Bedrock, generative artificial intelligence (AI) applications can run multistep tasks across different systems and data sources. A couple of months back, we simplified the creation and configuration of agents. Today, we are introducing in preview two new fully managed capabilities: Retain memory across multiple interactions – Agents can now retain a summary of their conversations with each user and be able to provide a smooth, adaptive experience, especially for complex, multistep tasks, such as user-facing interactions and enterprise automation solutions like booking flights or processing insurance claims. Support for code interpretation – Agents can now dynamically generate and run code snippets within a secure, sandboxed environment and be able to address complex use cases such as…
Guardrails for Amazon Bedrock can now detect hallucinations and safeguard apps built using custom or third-party FMs
Guardrails for Amazon Bedrock enables customers to implement safeguards based on application requirements and and your company’s responsible artificial intelligence (AI) policies. It can help prevent undesirable content, block prompt attacks (prompt injection and jailbreaks), and remove sensitive information for privacy. You can combine multiple policy types to configure these safeguards for different scenarios and apply them across foundation models (FMs) on Amazon Bedrock, as well as custom and third-party FMs outside of Amazon Bedrock. Guardrails can also be integrated with Agents for Amazon Bedrock and Knowledge Bases for Amazon Bedrock. Guardrails for Amazon Bedrock provides additional customizable safeguards on top of native protections offered by FMs, delivering safety features that are among the best in the industry: Blocks as…