Design intelligent AI agents with retrieval-augmented generation, memory components, and graph-based context integration.

The Azure Kubernetes Service (AKS) team at Microsoft has shared guidance for running Anyscale's managed Ray service at scale. They focus on three key issues: GPU capacity limits, scattered ML storage, ...

Here’s a quick library to write your GPU-based operators and execute them in your Nvidia, AMD, Intel or whatever, along with my new VisualDML tool to design your operators visually. This is a follow ...

Johnson Tractor has announced the acquisition of Farmers’ Implement, effective June 1, marking another step in the company’s strategic expansion to better serve agricultural customers across the ...

Janesville, Wis. – Johnson Tractor announced today the acquisition of Farmers’ Implement, effective June 1, further expanding Johnson Tractor’s presence and support for agricultural customers across ...

A PyTorch implementation of the DeFoG model for training and sampling discrete graph flows. (Please update to the latest commit. Recent fixes have been applied.) Working with directed graphs? Consider ...

Python 3.10.13 PyTorch 1.13.0 torch_geometric 2.5.2 torch-cluster 1.6.1 torch-scatter 2.1.1 torch-sparse 0.6.17 torch-spline-conv 1.2.2 sparsemax 0.1.9 CUDA 11.7 Train RIGSL using the MELD dataset.

According to God of Prompt (@godofprompt), top engineers at AI companies such as OpenAI, Anthropic, and Microsoft are moving beyond basic Retrieval-Augmented Generation (RAG) by prioritizing ...

Learn how to implement the Nadam optimizer from scratch in Python. This tutorial walks you through the math behind Nadam, explains how it builds on Adam with Nesterov momentum, and shows you how to ...

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...