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.
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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
Researchers discovered a modular, “cloud-first” framework that is feature-rich and designed to maintain stealthy, long-term access to Linux environments. Read More
OpenAI has quietly rolled out a new ChatGPT feature called ChatGPT Translate, and it looks very similar to Google Translate on the web. […] Read More
The Kyowon Group (Kyowon), a South Korean conglomerate, disclosed that a cyberattack has disrupted its operations and customer information may have been exposed in the incident. […] Read More
Last year in Australia, New Zealand, and the South Pacific, Main Street businesses like retail and construction suffered more cyberattacks than their critical sector counterparts. Read More
Microsoft has resolved a known issue that was causing security applications to incorrectly flag a core Windows component, the company said in a service alert posted this week. […] Read More
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
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
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
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