CRAG: Evolving Retrieval-Augmented Generation to Support Full CRUD OperationsBeyond Retrieval: Introducing CRAG, a next-generation AI framework that empowers models to not only read but also create, update, and…2d ago2d ago
Powering the Grid with Language: How LLMs Are Transforming Energy SystemsApplications of Large Language Models (LLMs) in Power Systems and Energy ManagementMar 231Mar 231
The Next Step in Evolution: Building Our Digital Descendants with LLMs and AIImagine creating a digital version of your own mind; a version that thinks, learns, and evolves independently. 🧠✨Mar 51Mar 51
Prompt Decorators: A Simple Way to Improve AI ResponsesUnlocking the Full Potential of AI with Structured PromptsFeb 1635Feb 1635
Think First, Then Speak: A Lesson for Humans and AIHow a 13th-Century Persian Poet Anticipated AI ReasoningFeb 9Feb 9
Unveiling the Inner Product: The Key to Similarity in Math, Machine Learning, and BeyondHave you ever wondered how machines recommend your next favorite movie, how neural networks process language, or even how quantum states…Nov 27, 2024Nov 27, 2024
Mastering Constraint Handling in Optimization: A Deep Dive into Transformation TechniquesOptimization problems are a staple in engineering, machine learning, and many real-world applications. However, many of these problems are…Oct 14, 2024Oct 14, 2024
Understanding Random Key Encoding: A Simple Approach to Solving Complex Optimization ProblemsIn the world of optimization, solving problems like the Travelling Salesman Problem (TSP), Vehicle Routing Problem (VRP), and Quadratic…Sep 27, 2024Sep 27, 2024
YPEA: A Toolbox for Evolutionary Algorithms in MATLABThis is a short introduction to YPEA, which is an open-source MATLAB toolbox to solve optimization problems using Evolutionary Algorithms.Dec 15, 2020Dec 15, 2020