Chain-of-thought (CoT) prompting enables LLMs to improve their reasoning capabilities. This paper explores various CoT techniques and their practical limitations.
LLMs are better at math with a "verified reasoning trajectory" — an opportunity to review their steps and determine if the math they're doing makes sense.
A Data-First IDP integrates governance, traceability, and quality into workflows, transforming how data is managed, enabling scalable, AI-ready ecosystems.
Distributed training accelerates machine learning training by splitting tasks across multiple devices or machines, improving performance and scalability.
Router4j is a free and open-source tool for calculating routes and straight-line distances based on geographic coordinates — a free alternative to Google Maps.
Reasoner models enhance problem-solving by "thinking longer" with test-time compute, improving accuracy in math and coding tasks through iterative refinement.
How to build a JavaScript-based spreadsheet application with features like editable cells, formula evaluation, and real-time updates through a Pub/Sub model.
This article introduces process mining, explaining its key elements and practical applications for discovering and analyzing workflows using event data.