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…It’s not a fork or a separate project; it’s a community-driven build of the exact same MIT-licensed source code that powers VS Code. I have found the transition…
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What is AutoDeploy?
Every new LLM architecture comes with its own inference challenges, from transformer models to hybrid vision language models (VLMs) to state space models (SSMs). Turning a reference implementation into a high-performance inference engine typically requires adding KV cache management, sharding weights across GPUs, fusing operations, and tuning the execution graph for specific hardware. AutoDeploy shifts this workflow toward a compiler-driven approach. Instead of requiring model authors to manually reimplement inference logic, AutoDeploy automatically extracts a computation graph from an off-the
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Show HN: AI agents who prevent context drift through gossip
Most multi-agent systems fail the same way: agents drift apart across handoffs. By turn 3 they are working in different realities. By turn 5 they are repeating each other's mistakes and calling it parallelism. WUPHF is a…
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Show HN: My AI agents bully each other to prevent context drift
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How JumpCloud unifies IT management to tame shadow AI
…Such tools include public LLMs such as OpenAI and Claude. But they also cover AI-enabled software-as-a-service applications that individual departments buy through procurement functions. This creates a real…
Maximizing Memory Efficiency to Run Bigger Models on NVIDIA Jetson | NVIDIA Technical Blog
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India’s frugal AI models are a blueprint for resource-strapped nations
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ASUS Unveils Groundbreaking Ultrasmall-Form-Factor PCs at CES 2026
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