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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

Gemini 2.5 Computer Use model

Almost done with the dashboard for local llama.cpp agents

2025 guide to Context Engineering for Software Engineers

grok 2 weights

Evolution is still a valid machine learning technique

I can train my own models.. Whats next?

Help with complete stop detection app code. Please advice how to build ?

Study finds filtered data stops openly-available AI models from performing dangerous tasks

Isn’t it time we had a model built purely for code in Agentic AI systems like BlackBox?

[P] I built a ML-regression model for Biathlon that beats current betting market odds

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.