If I had to wipe Hermes and rebuild from scratch, I wouldn't start with an empty chat window and just wing it. Skills would come first. Always A default install still works fine on its own. But once ...

Use Azure Batch to run large-scale parallel and high-performance computing (HPC) batch jobs efficiently in Azure. This tutorial walks through a Python example of running a parallel workload using ...

Hey devs! When you use Codex, putting too many tasks into a single conversation makes the model slow, confused, and unreliable. To solve this problem, I highly recommend using subagents (or Custom ...

Use Azure Batch to run large-scale parallel and high-performance computing (HPC) batch jobs efficiently in Azure. This tutorial walks through a C# example of running a parallel workload using Batch.

This is the second part of a series of tutorials that I am doing on Claude Code for academic researchers. This tutorial builds on the first tutorial, Claude Code 101, which went viral with more than ...

Registration is open for the RCS Spring 2026 Tutorials. Please also be aware that we have lots of recordings and slides available from past tutorials by RCS staff and ...

Abstract: The adoption of data-driven Digital Twins in smart manufacturing systems necessitates robust, data-driven modeling techniques. Stochastic Petri nets offer a formal framework for capturing ...

A common use case in generative AI is developing an agent, which is a system users interact with in plain language to accomplish a given task. Creating AI agents can require a lot of heavy lifting, ...

Dask is a Python set of libraries that takes parallel computing to scale, enabling efficient task execution across multiple cores or clusters. In combination with elements from machine learning (ML) ...

Large language models are revolutionizing how we interact with technology by leveraging advanced natural language processing to perform complex tasks. LLM agents are next-generation advanced AI ...

MedTrinity-25M, a comprehensive, large-scale multimodal dataset for medicine, covering over 25 million images across 10 modalities, with multigranular annotations for more than 65 diseases. These ...