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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

[D] Is senior ML engineering just API calls now?

[R] Area there better ways to balance loss weights?

New model from Meta FAIR: Code World Model (CWM) 32B - 65.8 % on SWE-bench Verified

MAESTRO v0.1.6 Update: Better support for models that struggle with JSON mode (DeepSeek, Kimi K2, etc.)

[P] How to build ML model for footprint scan matching on AWS?

The DeepSeek online model has been upgraded

[D] experiment analysis workflow with wandb or mlflow

Model literals, model aliases and preference-aligned LLM routing

[D] Strategies for Routing LLMs

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.