Optimizer

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1. 5d
   DigitalOcean Previews AI Agent Learning and Data Services

   DigitalOcean introduced previews of Learning Services and Agent Data Services for building, evaluating, and improving AI agents on its cloud platform, according to a single news report. Learning Services, built on Inference Engine and Managed Agents, includes Insights for recording agent activity, Signals for identifying failures and performance weaknesses, and Simulations for testing potential improvements before deployment. The report says Insights, Signals, and Evaluations, including Simulations, are available in public preview, while Inference Router optimization and Agent Data Services are in private preview. Although the report opens by describing both new services as public previews, its later availability statement identifies Agent Data Services as private preview. Agent Data Services is described as a managed foundation that indexes and governs access to documents, video, audio, logs, and agent conversations.

   InfoQ 中文 AI&大模型 · 🔥 0

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Model-Optimizer•4d Pinned

Model-Optimizer: A library for composing model optimization techniques and exporting optimized quantized checkpoints.

What problem it solves Deep learning models often need to be adapted for efficient deployment across different inference frameworks. Model Optimizer addresses this by providing a unified set of optimization techniques and export workflows for quantized checkpoints. Key features Post-training quantization — Compress models with quantization techniques available for Hugging Face, Megatron-Bridge, Di…

github.comhttps://github.com/NVIDIA/Model-Optimizer

annotated_deep_learning_paper_implementa•4d Pinned

annotated_deep_learning_paper_implementations: Annotated PyTorch implementations and tutorials for understanding deep learning algorithms.

What problem it solves This project provides simple PyTorch implementations of neural networks and related algorithms. These implementations are documented with explanations and rendered as side-by-side formatted notes to help readers understand the algorithms better. Key features PyTorch Implementations — The project provides implementations of neural networks and related algorithms using PyTorch…

github.comhttps://github.com/labmlai/annotated_deep_learning_paper_implementations