Today, we’re thrilled to announce Amazon Nova, a new generation of state-of-the-art foundation models (FMs) that deliver frontier intelligence and industry leading price performance, available exclusively in Amazon Bedrock. You can use Amazon Nova to lower costs and latency for almost any generative AI task. You can build on Amazon Nova to analyze complex documents and videos, understand charts and diagrams, generate engaging video content, and build sophisticated AI agents, from across a range of intelligence classes optimized for enterprise workloads. Whether you’re developing document processing applications that need to process images and text, creating marketing content at scale, or building AI assistants that can understand and act on visual information, Amazon Nova provides the intelligence and flexibility you need with…
Introducing multi-agent collaboration capability for Amazon Bedrock (preview)
Today, we’re announcing the multi-agent collaboration capability for Amazon Bedrock (preview). With multi-agent collaboration, you can build, deploy, and manage multiple AI agents working together on complex multi-step tasks that require specialized skills. When you need more than a single agent to handle a complex task, you can create additional specialized agents to address different aspects of the process. However, managing these agents becomes technically challenging as tasks grow in complexity. As a developer using open source solutions, you may find yourself navigating the complexities of agent orchestration, session handling, memory management, and other technical aspects that require manual implementation. With the fully managed multi-agent collaboration capability on Amazon Bedrock, specialized agents work within their domains of expertise, coordinated by…
Prevent factual errors from LLM hallucinations with mathematically sound Automated Reasoning checks (preview)
Today, we’re adding Automated Reasoning checks (preview) as a new safeguard in Amazon Bedrock Guardrails to help you mathematically validate the accuracy of responses generated by large language models (LLMs) and prevent factual errors from hallucinations. Amazon Bedrock Guardrails lets you implement safeguards for generative AI applications by filtering undesirable content, redacting personal identifiable information (PII), and enhancing content safety and privacy. You can configure policies for denied topics, content filters, word filters, PII redaction, contextual grounding checks, and now Automated Reasoning checks. Automated Reasoning checks help prevent factual errors from hallucinations using sound mathematical, logic-based algorithmic verification and reasoning processes to verify the information generated by a model, so outputs align with known facts and aren’t based on fabricated…
Build faster, more cost-efficient, highly accurate models with Amazon Bedrock Model Distillation (preview)
Today, we’re announcing the availability of Amazon Bedrock Model Distillation in preview that automates the process of creating a distilled model for your specific use case by generating responses from a large foundation model (FM) called a teacher model and fine-tunes a smaller FM called a student model with the generated responses. It uses data synthesis techniques to improve response from a teacher model. Amazon Bedrock then hosts the final distilled model for inference giving you a faster and more cost-efficient model with accuracy close to the teacher model, for your use case. Customers are excited to use the most powerful and accurate FMs on Amazon Bedrock for their generative AI applications. But for some use cases, the latency associated…