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Grok 4 Launch [video]

Launch HN: Morph (YC S23) – Apply AI code edits at 4,500 tokens/sec

BharatMLStack – Realtime Inference, MLOps

Show HN: Unlearning Comparator, a visual tool to compare machine unlearning

tinymcp: Let LLMs control embedded devices via the Model Context Protocol

I extracted the safety filters from Apple Intelligence models

Portability of Tar Features

Overclocking LLM Reasoning: Monitoring and Controlling LLM Thinking Path Lengths

Optimizing Tool Selection for LLM Workflows with Differentiable Programming

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

DeepSeek will open-source parts of its inference engine — sharing standalone features and optimizations instead of the full stack

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

microsoft

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onnxruntime

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

modelscope

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modelscope

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