Today, we’re sharing how Amazon Bedrock makes it straightforward to customize Amazon Nova models for your specific business needs. As customers scale their AI deployments, they need models that reflect […]
Customize Amazon Nova models with Amazon Bedrock fine-tuning Read More »
In healthcare and life sciences, AI agents help organizations process clinical data, submit regulatory filings, automate medical coding, and accelerate drug development and commercialization. However, the sensitive nature of healthcare
Human-in-the-loop constructs for agentic workflows in healthcare and life sciences Read More »
If you’re looking to enhance your content understanding and search capabilities, audio embeddings offer a powerful solution. In this post, you’ll learn how to use Amazon Nova Multimodal Embeddings to
You can use reinforcement Fine-Tuning (RFT) in Amazon Bedrock to customize Amazon Nova and supported open source models by defining what “good” looks like—no large labeled datasets required. By learning
Reinforcement fine-tuning on Amazon Bedrock: Best practices Read More »
As organizations scale their AI workloads on Amazon Bedrock, understanding what’s driving spending becomes critical. Teams might need to perform chargebacks, investigate cost spikes, and guide optimization decisions, all of
Manage AI costs with Amazon Bedrock Projects Read More »
Content creators and organizations today face a persistent challenge: producing high-quality audio content at scale. Traditional podcast production requires significant time investment (research, scheduling, recording, editing) and substantial resources including
Building real-time conversational podcasts with Amazon Nova 2 Sonic Read More »
Building a text-to-SQL solution using Amazon Bedrock can alleviate one of the most persistent bottlenecks in data-driven organizations: the delay between asking a business question and getting a clear, data-backed answer.
Text-to-SQL solution powered by Amazon Bedrock Read More »
Enterprises often struggle to onboard new team members at scale. Human resources (HR) teams spend time on manual tasks that delay productivity, such as processing documents to answering repeated questions
Build AI-powered employee onboarding agents with Amazon Quick Read More »
Agentic tool calling is what makes AI agents useful in production. It’s how they query databases, trigger workflows, retrieve real-time data, and act on a user’s behalf. But base models
Agentic generative AI assistants represent a significant advancement in artificial intelligence, featuring dynamic systems powered by large language models (LLMs) that engage in open-ended dialogue and tackle complex tasks. Unlike
