Optimizing AI responsiveness: A practical guide to Amazon Bedrock latency-optimized inference

In production generative AI applications, responsiveness is just as important as the intelligence behind the model. Whether it’s customer service teams handling time-sensitive inquiries or developers needing instant code suggestions, every second of delay, known as latency, can have a significant impact. As businesses increasingly use large language models (LLMs) for these critical tasks and […]

Track LLM model evaluation using Amazon SageMaker managed MLflow and FMEval

Evaluating large language models (LLMs) is crucial as LLM-based systems become increasingly powerful and relevant in our society. Rigorous testing allows us to understand an LLM’s capabilities, limitations, and potential biases, and provide actionable feedback to identify and mitigate risk. Furthermore, evaluation processes are important not only for LLMs, but are becoming essential for assessing […]

Create a SageMaker inference endpoint with custom model & extended container

Amazon SageMaker provides a seamless experience for building, training, and deploying machine learning (ML) models at scale. Although SageMaker offers a wide range of built-in algorithms and pre-trained models through Amazon SageMaker JumpStart, there are scenarios where you might need to bring your own custom model or use specific software dependencies not available in SageMaker […]

Image and video prompt engineering for Amazon Nova Canvas and Amazon Nova Reel

Amazon has introduced two new creative content generation models on Amazon Bedrock: Amazon Nova Canvas for image generation and Amazon Nova Reel for video creation. These models transform text and image inputs into custom visuals, opening up creative opportunities for both professional and personal projects. Nova Canvas, a state-of-the-art image generation model, creates professional-grade images […]

Security best practices to consider while fine-tuning models in Amazon Bedrock

Amazon Bedrock has emerged as the preferred choice for tens of thousands of customers seeking to build their generative AI strategy. It offers a straightforward, fast, and secure way to develop advanced generative AI applications and experiences to drive innovation. With the comprehensive capabilities of Amazon Bedrock, you have access to a diverse range of […]

Secure a generative AI assistant with OWASP Top 10 mitigation

A common use case with generative AI that we usually see customers evaluate for a production use case is a generative AI-powered assistant. However, before it can be deployed, there is the typical production readiness assessment that includes concerns such as understanding the security posture, monitoring and logging, cost tracking, resilience, and more. The highest […]

Enhance your customer’s omnichannel experience with Amazon Bedrock and Amazon Lex

The rise of AI has opened new avenues for enhancing customer experiences across multiple channels. Technologies like natural language understanding (NLU) are employed to discern customer intents, facilitating efficient self-service actions. Automatic speech recognition (ASR) translates spoken words into text, enabling seamless voice interactions. With Amazon Lex bots, businesses can use conversational AI to integrate […]

Introducing multi-turn conversation with an agent node for Amazon Bedrock Flows (preview)

Amazon Bedrock Flows offers an intuitive visual builder and a set of APIs to seamlessly link foundation models (FMs), Amazon Bedrock features, and AWS services to build and automate user-defined generative AI workflows at scale. Amazon Bedrock Agents offers a fully managed solution for creating, deploying, and scaling AI agents on AWS. With Flows, you […]

Video security analysis for privileged access management using generative AI and Amazon Bedrock

Security teams in highly regulated industries like financial services often employ Privileged Access Management (PAM) systems to secure, manage, and monitor the use of privileged access across their critical IT infrastructure. Security and compliance regulations require that security teams audit the actions performed by systems administrators using privileged credentials. Keystroke logging (the action of recording […]