AgentKeeper introduces a Cognitive Reconstruction Engine (CRE) that sits between your agent and any LLM provider. Your Agent ↓ AgentKeeper (CRE) ← cognitive layer ↓ ↓ ↓ ↓ OpenAI Anthropic Gemini ...
Abstract: The design space for edge AI hardware supporting large language model (LLM) inference and continual learning is underexplored. We present 3D-CIMlet, a thermal-aware modeling and co-design ...
Abstract: Processing-In-Memory (PIM) architectures alleviate the memory bottleneck in the decode phase of large language model (LLM) inference by performing operations like GEMV and Softmax in memory.
What happens when the backbone of modern technology, memory, becomes a scarce resource? The global DRAM shortage isn’t just a supply chain hiccup; it’s a full-blown crisis reshaping industries from AI ...
In this tutorial, we build a robust, multi-layered safety filter designed to defend large language models against adaptive and paraphrased attacks. We combine semantic similarity analysis, rule-based ...
A powerful Go framework for building production-ready AI agents that seamlessly integrates memory management, tool execution, multi-LLM support, and enterprise features into a flexible, extensible ...
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