A Technology Broker and Management Company Specializing in KM Systems
Favorite As customers shift to interacting with digital services through AI hosts like ChatGPT and Claude, organizations need a way to make their services accessible across these applications with rich UI, not only plain text. They also need to do this without coupling to a single host. MCP Apps and
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Shared by AWS Machine Learning September 12, 2026
Favorite Organizations building generative AI applications usually compare models the same way: dollars per million tokens. It’s the number on every pricing page, so it becomes the number in every spreadsheet. But production workloads don’t buy tokens. They buy outcomes: a resolved support ticket, a completed research brief, a correct
Read More Shared by AWS Machine Learning September 12, 2026
Favorite Multi-agent systems in production experience issues in ways that traditional monitoring misses. For example, the agent can’t invoke its foundation model (FM) and returns an empty response. This could be because of a missing AWS Identity and Access Management (IAM) permission on an agent’s execution role that doesn’t throw
Read More Shared by AWS Machine Learning September 12, 2026
Favorite This post is co-written with Petra Lafond, Product Manager, and Maarten Cardinaels, Tech Lead at AvioBook, a Thales Group Company. Airlines run on tight, cascading schedules, and accessing operational data holds the key to protecting them. During turnarounds, a few minutes of delay at one gate can ripple through
Read More Shared by AWS Machine Learning September 11, 2026
Favorite Multi-turn agents fail in ways that single-turn evaluation misses: one early mistake quietly corrupts every later turn. This post introduces the Agent Evaluation Metric (AEM), a decomposable, turn-level way to measure agent quality. We apply it to its first dimension, correctness. We show how AEM pinpoints the one turn
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Favorite A configurable, instruction-driven detector that runs on any large language model (LLM) managed on Amazon Bedrock, evaluated on five public PII corpora across nine LLM-based detectors, including the OpenAI PrivacyFilter. Fine-tuning a model on real-world text creates a personally identifiable information (PII) detection problem. Training corpora are full of
Read More Shared by AWS Machine Learning September 11, 2026
Favorite Build an end-to-end Request for Information (RFI) questionnaire workflow using Amazon Quick Automate to solve a challenge organizations face at every scale. A typical enterprise might handle hundreds of RFI questionnaires each year, and each arrives as a complex, multi-tab workbook packed with hierarchical question sets, category metadata, and
Read More Shared by AWS Machine Learning September 11, 2026
Favorite Your teams get an AI assistant that handles real work while your data stays in your environment and your conversations stay private Today, the Amazon Quick desktop application is generally available on macOS and Windows. We’re also adding a new activity feed to the mobile experience on iOS and
Read More Shared by AWS Machine Learning September 11, 2026
Favorite Today we’re announcing the general availability of TwelveLabs Marengo Embed 3.0 as an embedding model in Amazon Bedrock Knowledge Bases. Video and media assets remain largely unsearchable by meaning. Teams in media, sports analytics, education, security, and retail need to find specific moments in hours of footage using natural
Read More Shared by AWS Machine Learning September 11, 2026
Favorite When you deploy a large language model (LLM) for inference on Amazon SageMaker HyperPod, there’s a gap between when you request a pod and when it’s ready to serve traffic. This gap is dominated by two sequential downloads: the inference server container image from Amazon Elastic Container Registry (Amazon
Read More Shared by AWS Machine Learning September 11, 2026