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DeepSeek AI Researchers Introduce Engram: A Conditional Memory Axis For Sparse LLMs MarkTechPost

DeepSeek AI Researchers Introduce Engram: A Conditional Memory Axis For Sparse LLMs MarkTechPost

DeepSeek AI Researchers Introduce Engram: A Conditional Memory Axis For Sparse LLMsMarkTechPost Transformers use attention and Mixture-of-Experts to scale computation, but they still lack a native way to perform knowledge lookup. They re-compute the same local patterns again and again, which wastes depth and FLOPs. DeepSeek’s new Engram module targets exactly this gap by adding a conditional memory axis that works alongside MoE rather than replacing it.
The post DeepSeek AI Researchers Introduce Engram: A Conditional Memory Axis For Sparse LLMs appeared first on MarkTechPost.

 Transformers use attention and Mixture-of-Experts to scale computation, but they still lack a native way to perform knowledge lookup. They re-compute the same local patterns again and again, which wastes depth and FLOPs. DeepSeek’s new Engram module targets exactly this gap by adding a conditional memory axis that works alongside MoE rather than replacing it.
The post DeepSeek AI Researchers Introduce Engram: A Conditional Memory Axis For Sparse LLMs appeared first on MarkTechPost. Read More  

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Transform AI development with new Amazon SageMaker AI model customization and large-scale training capabilities Artificial Intelligence

Transform AI development with new Amazon SageMaker AI model customization and large-scale training capabilities Artificial Intelligence

Transform AI development with new Amazon SageMaker AI model customization and large-scale training capabilitiesArtificial Intelligence This post explores how new serverless model customization capabilities, elastic training, checkpointless training, and serverless MLflow work together to accelerate your AI development from months to days.

 This post explores how new serverless model customization capabilities, elastic training, checkpointless training, and serverless MLflow work together to accelerate your AI development from months to days. Read More  

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AI Agents Are Becoming Privilege Escalation Paths The Hacker Newsinfo@thehackernews.com (The Hacker News)

AI agents have quickly moved from experimental tools to core components of daily workflows across security, engineering, IT, and operations. What began as individual productivity aids, like personal code assistants, chatbots, and copilots, has evolved into shared, organization-wide agents embedded in critical processes. These agents can orchestrate workflows across multiple systems, for example: Read More 

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How to Build a Stateless, Secure, and Asynchronous MCP-Style Protocol for Scalable Agent Workflows MarkTechPost

How to Build a Stateless, Secure, and Asynchronous MCP-Style Protocol for Scalable Agent WorkflowsMarkTechPost In this tutorial, we build a clean, advanced demonstration of modern MCP design by focusing on three core ideas: stateless communication, strict SDK-level validation, and asynchronous, long-running operations. We implement a minimal MCP-like protocol using structured envelopes, signed requests, and Pydantic-validated tools to show how agents and services can interact safely without relying on persistent
The post How to Build a Stateless, Secure, and Asynchronous MCP-Style Protocol for Scalable Agent Workflows appeared first on MarkTechPost.

 In this tutorial, we build a clean, advanced demonstration of modern MCP design by focusing on three core ideas: stateless communication, strict SDK-level validation, and asynchronous, long-running operations. We implement a minimal MCP-like protocol using structured envelopes, signed requests, and Pydantic-validated tools to show how agents and services can interact safely without relying on persistent
The post How to Build a Stateless, Secure, and Asynchronous MCP-Style Protocol for Scalable Agent Workflows appeared first on MarkTechPost. Read More  

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How AutoScout24 built a Bot Factory to standardize AI agent development with Amazon Bedrock Artificial Intelligence

How AutoScout24 built a Bot Factory to standardize AI agent development with Amazon Bedrock Artificial Intelligence

How AutoScout24 built a Bot Factory to standardize AI agent development with Amazon BedrockArtificial Intelligence In this post, we explore the architecture that AutoScout24 used to build their standardized AI development framework, enabling rapid deployment of secure and scalable AI agents.

 In this post, we explore the architecture that AutoScout24 used to build their standardized AI development framework, enabling rapid deployment of secure and scalable AI agents. Read More