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1. LLM Tools by Examples: Exploring Tools for Optimal Inference Performance

   The article discusses the importance of fine-tuning machine learning models for optimal inference performance and explores popular tools like vLLM, TensorRT, ONNX Runtime, TorchServe, and DeepSpeed.

   2025-01-02 Tags: llm, inference, performance, vllm, tensorrt, onnx, torchserve, deepspeed by klotz
2. Small Language Models: Using 3.8B Phi-3 and 8B Llama-3 Models on a PC and Raspberry Pi

   This article discusses how to test small language models using 3.8B Phi-3 and 8B Llama-3 models on a PC and Raspberry Pi with LlamaCpp and ONNX. Written by Dmitrii Eliuseev.

   2024-06-21 Tags: llm, phi-3, llama-3, llamacpp, onnx, python, iot, raspberry pi by klotz
3. How to train a fastai model and run it in the browser

   2019-10-16 Tags: fast.ai, onnx, machine learning, deep learning by klotz
4. ONNX.js: Universal Deep Learning Models in The Browser

   2019-01-10 Tags: onnx, deep learning, javascript by klotz
5. Agile ML: Some Things I Learned About Rapid Experimentation in Real World Machine Learning Projects

   2018-11-28 Tags: machine learning, onnx, deployment, production engineering by klotz
6. Microsoft and Facebook launch open source project to make neural networks portable | VentureBeat

   Microsoft and Facebook have announced a new open source project today that’s aimed at creating a shared model representation for neural networks across different programming frameworks. Called the Open Neural Network Exchange (ONNX), the new project will make it possible to share models across the Cognitive Toolkit, PyTorch, and Caffe2.

   2018-08-21 Tags: onnx, neural network, deployment, microsoft, facebook, production engineering by klotz

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