Guide

A Step-By-Step Guide To Powering Your Application With LLMs

whether GenAI is just hype or external noise. I also thought this was hype, and I could sit this one out until the dust cleared. Oh, boy, was I flawed. GenAI has real-world...

A Data Scientist’s Guide to Docker Containers

a ML to be useful it must run somewhere. This somewhere is almost certainly not your local machine. A not-so-good model that runs in a production environment is healthier than an ideal model...

Learn how to Format Your TDS Draft: A Quick(ish) Guide

Everyone knows what makes each authors and editors joyful: a smooth, streamlined publication process where the trail from draft to published article is quick and painless. We also know that a lot of our...

Master the 3D Reconstruction Process: A Step-by-Step Guide

journey from 2D photographs to 3D models follows a structured path.  This path consists of distinct steps that construct upon one another to remodel flat images into spatial information.  Understanding this pipeline is crucial for...

Data centers love solar: Here’s a comprehensive guide to deals over 100 megawatts

The push to capitalize on the thrill around AI has led tech corporations to dramatically expand their data center footprints. That’s been excellent news for corporations like Nvidia, nevertheless it has also led to...

Navigating AI Bias: A Guide for Responsible Development

AI is revolutionizing industries worldwide, but with this transformation comes significant responsibility. As these systems increasingly drive critical business decisions, firms face mounting risks related to bias, transparency, and compliance. The implications of unchecked...

Mastering Prompt Engineering with Functional Testing: A Systematic Guide to Reliable LLM Outputs 

Creating efficient prompts for big language models often starts as a sure bet… but it surely doesn’t at all times stay that way. Initially, following basic best practices seems sufficient: adopt the persona of...

Essential Review Papers on Physics-Informed Neural Networks: A Curated Guide for Practitioners

Staying on top of a fast-growing research field is rarely easy. I face this challenge firsthand as a practitioner in Physics-Informed Neural Networks (PINNs). Latest papers, be they algorithmic advancements or cutting-edge applications, are published...

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