Multimodal fine-tuning represents a powerful approach for customizing foundation models (FMs) to excel at specific tasks that involve both visual and textual information. Although base multimodal models offer impressive general capabilities, they often fall short when faced with specialized...

Mortgage processing is a complex, document-heavy workflow that demands accuracy, efficiency, and compliance. Traditional mortgage operations rely on manual review, rule-based automation, and disparate systems, often leading to delays, errors, and a poor customer experience. Recent industry surveys indicate...

Multinational organizations face the complex challenge of effectively managing a workforce and operations across different countries, cultures, and languages. Maintaining consistency and alignment across these global operations can be difficult, especially when it comes to updating and sharing business...

Organizations implementing agents and agent-based systems often experience challenges such as implementing multiple tools, function calling, and orchestrating the workflows of the tool calling. An agent uses a function call to invoke an external tool (like an API or...

Amazon Bedrock Model Distillation is generally available, and it addresses the fundamental challenge many organizations face when deploying generative AI: how to maintain high performance while reducing costs and latency. This technique transfers knowledge from larger, more capable foundation...

As generative AI revolutionizes industries, organizations are eager to harness its potential. However, the journey from production-ready solutions to full-scale implementation can present distinct operational and technical considerations. This post explores key insights and lessons learned from AWS customers...