Recently, AWS announced Amazon Bedrock AgentCore, a flexible service that helps developers seamlessly create and manage AI agents across different frameworks and models, whether hosted on Amazon Bedrock or other environments. Specifically, AgentCore Runtime provides a secure, serverless, and purpose-built hosting environment for deploying...
This post is co-written by Fan Zhang, Sr Principal Engineer / Architect from Palo Alto Networks.
Palo Alto Networks’ Device Security team wanted to detect early warning signs of potential production issues to provide more time to SMEs to react to these emerging problems. The...
Our work with large enterprise customers and Amazon teams has revealed that high stakes use cases continue to benefit significantly from advanced large language model (LLM) fine-tuning and post-training techniques. In this post, we show you how fine-tuning enabled a 33% reduction in dangerous...
Gaming companies face an unprecedented challenge in managing their advertising creative assets. Modern gaming companies produce thousands of video advertisements for A/B testing campaigns, with some organizations maintaining libraries with more than 100,000 video assets that grow by thousands of assets monthly. These assets...
Enterprises aiming to automate processes using AI agents or enhance employee productivity using AI chat-based assistants need to enforce comprehensive safeguards and audit controls for responsible use of AI and processing of sensitive data by large language models (LLMs). Many have developed a custom...
Traditional business reporting processes are often time-consuming and inefficient. Associates typically spend about two hours per month preparing their reports, while managers dedicate up to 10 hours per month aggregating, reviewing, and formatting submissions. This manual approach often leads to inconsistencies in both format...
