AI

Beyond RAG: Task-aware knowledge compression for enterprise AI on AWS

If you’re using Retrieval-Augmented Generation (RAG) for complex analytical tasks that span hundreds of documents, such as financial due diligence or regulatory compliance reviews, you’ve likely hit its ceiling. Similarity search surfaces relevant fragments but often misses cross-document connections. This post shows you how to address that gap using task-aware knowledge compression (TAKC), a technique

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Deepgram enhances Amazon SageMaker AI support with AWS IAM Temporary Delegation

Enterprises running self-hosted speech AI need fast, auditable support without giving partners long-lived access to their accounts. When a model returns unexpected results or an endpoint misbehaves, the engineer best positioned to diagnose it is often on the partner side. But provisioning cross-account AWS Identity and Access Management (IAM) roles for every support engagement is

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How Guardoc transforms medical document processing with Amazon Nova models

Every day, nurses and care teams make critical decisions based on clinical documentation that is often fragmented, inconsistent, and prone to errors. Incomplete or inaccurate records increase cognitive load, introduce clinical risk, and create compliance challenges in an already demanding environment. Medical documentation must serve both patient outcomes and regulatory standards, yet too often it

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Teaching LLMs to Update Beliefs for Efficient Long-Horizon Interaction

<!– PREVIEW: –> <!– PREVIEW: –> Overview of ABBEL compared to traditional recursive summarization. Beliefs replace the full interaction history as the agent’s working context, and belief grading improves performance by supervising the contents of each belief state.. As task horizons grow, LLM contexts can’t scale forever. Self-summarization enables concise, interpretable contexts, but at a

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