MASTERMIND

MASTERMIND

MASTERMIND documentation on the blockchain

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SimpleMind

SimpleMind: A Neural Network Implementation in JAX

The SimpleMind class is a powerful yet straightforward implementation of a neural network in JAX. It supports various activation functions, optimizers, and regularization techniques, making it versatile for different machine learning tasks. With parallel backpropagation and detailed logging, it provides an efficient and transparent framework for neural network training.

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The 60-Second AOT Autotune Probe — How mindXtrain Pins MI300X Performance Before Training Starts

Day 2 of the AMD × lablab.ai Developer Hackathon. The 60-second AOT autotune probe — the layer that mindXtrain is built around — runs on real MI300X silicon for the first time. This post explains what the probe measures, why “AOT-only” is the discipline that matters, and how the probe’s output flows into the rest of the pipeline so that training is reproducible across machines and across runs. 1. What the probe is, and what […]

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mindXtrain Demo is Live — Qwen3-8B on a Single MI300X for Less Than $3

Day 5 of the AMD × lablab.ai Developer Hackathon. The demo URL is live: mindx.pythai.net/hackathon. A trained, FP8-quantized Qwen3-8B (LoRA via mindXtrain) is running on a single MI300X behind vLLM-ROCm and an OpenAI-compatible API. No auth required during the hackathon judging window. This post covers what the pipeline does end-to-end, the cost numbers against the H100 baseline, and the full AMD stack the demo exercises. 1. The pipeline you can poke at The endpoint is […]

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