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Favorite Let’s say your customer support agent asks for “billing issues”, and gets back technical support tickets, sales conversations with receipt issues, and billing disputes all mixed. This is the retrieval precision wall that teams hit once their agents accumulate weeks of interaction history: similarity search finds everything that’s semantically
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Shared by AWS Machine Learning July 1, 2026
Favorite As enterprises deploy AI agents across teams, vendors, and infrastructure, managing agent-to-agent communication becomes a growing operational burden. Without a centralized layer, each new agent integration adds point-to-point connections, separate credentials, and custom routing logic. Teams spend engineering cycles wiring up connectivity instead of building agent capabilities. Access control
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Favorite Government agencies running workloads in AWS GovCloud (US) need AI capabilities that keep pace with the commercial sector. At the same time, they can’t compromise the security and compliance controls their missions require. As open-weight foundation models (FMs) move from experimentation into mission systems, two requirements shape every model
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Favorite Here are Google’s latest AI updates from June 2026. View Original Source (blog.google/technology/ai/) Here.
Favorite Google, the New York Jobs CEO Council and Urban Assembly hosted an AI summit for 150 education and industry leaders. View Original Source (blog.google/technology/ai/) Here.
Favorite The authors would also like to thank Karan Bhandarkar, Sue Cha, Yash Shah and Nieves Garcia for their contributions in making this initiative possible. If you process millions of email messages daily, fine-tuning Amazon Nova models can help you automate accurate data extraction while reducing costs and hallucinations. Parcel
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Favorite IBS Software’s Cargo system processes thousands of bilingual cargo logistics email messages daily. The system extracts critical information such as air waybill (AWB) numbers, flight details, weights, and delivery instructions in both English and Japanese. This added to the complexity of building a robust Named Entity Recognition (NER) solution.
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Favorite This post was co-written with Tim Chauncey and Dheeraj Bhadani of Outpost VFX. AI model training for visual effects (VFX) can take weeks, creating bottlenecks in production timelines. For Outpost VFX, which operates studios across the UK, Canada, and India delivering high-end film and episodic content, every day of
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Favorite Implementing resilience patterns for large language model (LLM) inference is critical as generative AI workloads move from experimentation to production at scale. With LLM powered apps now in production, organizations need ways to keep LLM inference highly available, responsive, and cost-effective at scale. Existing resilience best practices like static
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Favorite Managing AI model access across dozens or hundreds of AWS accounts creates a dilemma. Either you grant AWS Marketplace permissions broadly, risking governance issues, or you manually enable subscriptions in each account. For organizations using third-party models like Anthropic Claude or Cohere, this operational overhead slows AI adoption. In
Read More Shared by AWS Machine Learning June 30, 2026