Agile Deliberation: How AI helps humans define the gray areas
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b12116
The llama.cpp release b12116 introduces support for the drama-3 text-to-speech model, includes cleanup improvements, and ensures the drama3 helper stops at the codebook tower limit. This update provides binaries for multiple platforms including macOS, Linux, Windows, Android, and iOS, with support for various backends such as CUDA, Vulkan, ROCm, OpenVINO, and SYCL. Some builds remain disabled or require additional setup.
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llama.cpp releases
b12118
The update enhances OpenCL performance for decode operations by optimizing workgroup usage for q4_K gate up and GLU, and adds support for Flash Attention (FA) in various configurations including GQA 2, 6, and 16 with different head sizes, improving efficiency on specific hardware setups.
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llama.cpp releases
b12121
A fix was implemented in llama.cpp to correct the calculation of on-device sequence state copy sizes for quantized key-value (KV) caches, ensuring accurate copying of data blocks and preventing crashes or incorrect state restoration. The update adjusts the element count computation using proper block size handling and removes redundant code elements.
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llama.cpp releases
Configure, Certify, and Operate Kubernetes GPU Clusters with NVIDIA DSX OS
One underperforming GPU can slow an entire distributed training job. The node may pass basic health checks and show normal utilization, leaving operators to...
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NVIDIA Developer
Four layers of context engineering for production AI agents: How Deep Insight applies them in working code
In production AI agents, context management is the real bottleneck. This post presents a four-layer context engineering framework (architecture, prompts, file-based tools, and verification agents), implemented in working code from Deep Insight, an open source multi-agent data analysis solution on the Strands Agents SDK and Amazon Bedrock AgentCore.
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AWS Machine Learning Blog
How NVIDIA Uses AI Agents to Streamline AI Factory Operations
As GPU clusters scale, operations span compute, network, hardware, and scheduling. Site reliability engineers (SREs) often have to examine multiple dashboards...
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NVIDIA Developer
How U Mobile built agentic telco operations with Amazon Bedrock AgentCore
U Mobile, Malaysia's newest 5G network provider, built AiDaH, an agentic AI operations platform on Amazon Bedrock AgentCore that moves beyond AI assistance to autonomous action across telco operations. Nine months after production launch, AiDaH handles over 150 operational scenarios across six divisions, cutting trouble tickets by up to 84.5%.
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AWS Machine Learning Blog
Kimi K3.1 Pro now has more ZDR providers on AI Gateway
Kimi K3.1 Pro and its high-speed variant are now accessible through additional Zero Data Retention (ZDR) providers on Vercel's AI Gateway, expanding beyond Moonshot AI. The models feature a 1M-token context window, image input support, and enhanced capabilities in coding, 3D modeling, and financial analysis. Highspeed is optimized for low-latency interactive tasks like coding agents. Users can invoke the models via AI SDK, Chat Completions, Responses, Anthropic Messages APIs, or integrated coding agents. Enabling ZDR in gateway settings ensures requests only route to ZDR-compliant providers. Setup for tools like Claude Code, Codex, and Cursor requires the latest Vercel CLI. AI Gateway offers unified API access, usage tracking, cost management, routing rules, and built-in reporting, reflecting provider pricing without markup and supporting Bring Your Own Key.
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Vercel
GPT Images 2.6实测：能做GIF动图和直出SVG了
从 GPT Images 2.0 开始，GPT 就一直是我唯一使用的画图工具。对我来说，它的质量无与伦比。Nano Banana Pro 之类的，我都没再用了。它似乎已经退出比赛了，至少在我的日常使用里是这样。两个月前，Images 2.5 加强了主体一致性和多轮编辑，也改善了细节、复杂布局和速度。Sketch 草图、模板、图片评论和提示词分享，也是在...
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