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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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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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MASTERMIND aGLM with RAGE

Building a rational Autonomous General Learning Model with Retrieval Augmented Generative Engine to create a dynamic learning loop with machine.dreaming for machine.learning as a self-healing architecture. MASTERMIND uses the Autonomous General Learning Model (aGLM) enhanced by the Retrieval Augmented Generative Engine (RAGE) to create a sophisticated AI system capable of intelligent decision-making and dynamic adaptation to real-time data. This combination leverages the strengths of both components to ensure that responses are not only based on […]

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