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Weather Model based on ADS-B

Show HN: Mcp-use – Connect any LLM to any MCP

Launch HN: Lucidic (YC W25) – Debug, test, and evaluate AI agents in production

Every Champion Needs a Rival

Stochastic Transparency [pdf]

Claude Code Router

Keep Pydantic out of your Domain Layer

Show HN: Nia – MCP server that gives more context to coding agents

How Distillation Makes AI Models Smaller and Cheaper

[D] Comparing GenAI Inference Engines: TensorRT-LLM, vLLM, Hugging Face TGI, and LMDeploy

"...we're also hearing some reports of mixed quality across different services. Since we dropped the models as soon as they were ready, we expect it'll take several days for all the public implementations to get dialed in..."

Llama 4 models now available via API on Lambda (Maverick/Scout 17B)

Official Gemma 3 QAT checkpoints (3x less memory for ~same performance)

To run Llama 3.1-8B-instruct model on a local CPU with 4 GB ram without quantization. By Loading and Running a LLaMA Model on CPU with Disk-based Layer Loading.

MLX fork with speculative decoding in server

Why is Falcon3-7b so rarely used (or cited) as a model?

Deepseek V3 0324 is now the best non-reasoning model (across both open and closed source) according to Artificial Analisys.

Re-using a model

microsoft

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onnxruntime

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

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.

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

modelscope

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modelscope

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