Tag: applications

  • AWS News Blog: Accelerate serverless testing with LocalStack integration in VS Code IDE

    Source URL: https://aws.amazon.com/blogs/aws/accelerate-serverless-testing-with-localstack-integration-in-vs-code-ide/ Source: AWS News Blog Title: Accelerate serverless testing with LocalStack integration in VS Code IDE Feedly Summary: AWS is announcing integrated LocalStack support in the AWS Toolkit for Visual Studio Code that makes it easier than ever for developers to test and debug serverless applications locally. This enhancement builds upon our recent…

  • Cisco Talos Blog: Beaches and breaches

    Source URL: https://blog.talosintelligence.com/beaches-and-breaches/ Source: Cisco Talos Blog Title: Beaches and breaches Feedly Summary: Thor examines why supply chain and identity attacks took center stage in this week’s headlines, rather than AI and ransomware. AI Summary and Description: Yes Summary: The provided text discusses various contemporary cybersecurity threats, shifting from ransomware to breaches, particularly focusing on…

  • Cloud Blog: Building scalable, resilient enterprise networks with Network Connectivity Center

    Source URL: https://cloud.google.com/blog/products/networking/resiliency-with-network-connectivity-center/ Source: Cloud Blog Title: Building scalable, resilient enterprise networks with Network Connectivity Center Feedly Summary: For large enterprises adopting a cloud platform, managing network connectivity across VPCs, on-premises data centers, and other clouds is critical. However, traditional models often lack scalability and increase management overhead. Google Cloud’s Network Connectivity Center is a…

  • Simon Willison’s Weblog: Defeating Nondeterminism in LLM Inference

    Source URL: https://simonwillison.net/2025/Sep/11/defeating-nondeterminism/#atom-everything Source: Simon Willison’s Weblog Title: Defeating Nondeterminism in LLM Inference Feedly Summary: Defeating Nondeterminism in LLM Inference A very common question I see about LLMs concerns why they can’t be made to deliver the same response to the same prompt by setting a fixed random number seed. Like many others I had…

  • AWS Open Source Blog: Strands Agents and the Model-Driven Approach

    Source URL: https://aws.amazon.com/blogs/opensource/strands-agents-and-the-model-driven-approach/ Source: AWS Open Source Blog Title: Strands Agents and the Model-Driven Approach Feedly Summary: Until recently, building AI agents meant wrestling with complex orchestration frameworks. Developers wrote elaborate state machines, predefined workflows, and extensive error-handling code to guide language models through multi-step tasks. We needed to build elaborate decision trees to handle…

  • The Register: Cadence invites you to play with Nvidia’s biggest iron in its datacenter tycoon sim

    Source URL: https://www.theregister.com/2025/09/10/cadence_systems_adds_nvidias_biggest/ Source: The Register Title: Cadence invites you to play with Nvidia’s biggest iron in its datacenter tycoon sim Feedly Summary: Using GPUs to design better bit barns for GPUs? It’s the circle of AI With the rush to capitalize on the gen AI boom, datacenters have never been hotter. But before signing…

  • Simon Willison’s Weblog: Claude API: Web fetch tool

    Source URL: https://simonwillison.net/2025/Sep/10/claude-web-fetch-tool/#atom-everything Source: Simon Willison’s Weblog Title: Claude API: Web fetch tool Feedly Summary: Claude API: Web fetch tool New in the Claude API: if you pass the web-fetch-2025-09-10 beta header you can add {“type": "web_fetch_20250910", "name": "web_fetch", "max_uses": 5} to your "tools" list and Claude will gain the ability to fetch content from…

  • Cloud Blog: Fast and efficient AI inference with new NVIDIA Dynamo recipe on AI Hypercomputer

    Source URL: https://cloud.google.com/blog/products/compute/ai-inference-recipe-using-nvidia-dynamo-with-ai-hypercomputer/ Source: Cloud Blog Title: Fast and efficient AI inference with new NVIDIA Dynamo recipe on AI Hypercomputer Feedly Summary: As generative AI becomes more widespread, it’s important for developers and ML engineers to be able to easily configure infrastructure that supports efficient AI inference, i.e., using a trained AI model to make…