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Your data model is your destiny

Gemini 3.0 spotted in the wild through A/B testing

New Coding Models and Integrations

TaxCalcBench: Evaluating Frontier Models on the Tax Calculation Task

Intel Announces Inference-Optimized Xe3P Graphics Card with 160GB VRAM

MAML – a new configuration language (similar to JSON, YAML, and TOML)

4x faster LLM inference (Flash Attention guy's company)

Ohno Type School

Representation Engineering

🚀 Run LightRAG on a Bare Metal Server in Minutes (Fully Automated)

Speciality of each model

[D][Discussion] - Model Context Protocol - Exhaustively Explained

New QAT-optimized int4 Gemma 3 models by Google, slash VRAM needs (54GB -> 14.1GB) while maintaining quality.

[P] I'm not understanding how to select the best model

MCP Explained in 3 Minutes: Model Context Protocol for AI & Tools

We GRPO-ed a Model to Keep Retrying 'Search' Until It Found What It Needed

how to make multiple models all work together for me

DeepSeek is about to open-source their inference engine

deepspeedai

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DeepSpeed

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

microsoft

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onnxruntime

ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator

huggingface

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pytorch-image-models

The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more

aws

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amazon-sagemaker-examples

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

Deci-AI

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super-gradients

Easily train or fine-tune SOTA computer vision models with one open source training library. The home of Yolo-NAS.

modelscope

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modelscope

ModelScope: bring the notion of Model-as-a-Service to life.