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VulnClaw: Automating the Penetration Testing Lifecycle via AI Agents and MCP Toolchains VulnClaw leverages the synergy between Large Language Models (LLMs), Model Context Protocol (MCP) toolchains, and structured penetra…
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Beyond Single-GPU LLM Serving: Building a Distributed vLLM Stack with Tensor Parallelism, RDMA, and Multi-Model Fusion An exploration of production-grade distributed inference architectures for 2026, focusing on scaling …
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Implementing a Custom Neural Network Inference Engine in C++ via AVX2 A technical deep dive into the creation of a lightweight, framework-less inference engine designed to eliminate the overhead of massive runtimes like …
→ View original sourceAddressing Long-Context Constraints in Local LLM Deployments via RIS-Kernel A potential breakthrough in local Large Language Model (LLM) deployment suggests that "RIS-Kernel" may provide a viable workaround for the persi…
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The author utilized Claude Code and the Opus model to obtain a second opinion on their MRI results. The process involved leveraging the AI's analytical capabilities to interpret medical imaging data. Read original
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Knowledge Distillation of Black-Box Large Language Models (2024) This 2024 study investigates knowledge distillation techniques for extracting capabilities from black‑box large language models (LLMs), addressing challeng…
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Developing a Game-Agnostic NPC Engine Powered by Local LLMs A new technical implementation demonstrates the viability of a game-agnostic NPC backend utilizing a pipeline of local models for Speech-to-Text (STT), Large La…
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GLM 5.2 Outperforms Claude in Specialized Cybersecurity Benchmarks New evaluation data suggests that GLM 5.2 has surpassed Claude in specific cybersecurity-focused benchmarks, indicating a significant shift in the perfor…
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GBC: Gradient-Based Connections for Optimizing Multi-Agent Systems Researchers propose Gradient-Based Connections (GBC), a novel framework designed to enhance the coordination and performance of LLM-based Multi-Agent Sys…
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SimFoundry: Modular and Automated Scene Generation for Policy Learning and Evaluation SimFoundry introduces a modular framework for automated zero-shot real-to-sim scene construction, enabling the creation of high-fideli…
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