This new, dead simple prompt technique boosts accuracy on LLMs by up to 76% on non-reasoning tasks

Most modern LLMs are trained as "causal" language models. This means they process text strictly from left to right. When the ...
IEEE

Advancements in Optimization Techniques for Active Magnetic Bearing Systems: Current Trends and Future Directions

Abstract: Active Magnetic Bearings (AMBs) are revolutionizing high-speed, contactless operations across industries like aerospace, energy, and precision manufacturing. However, their complex ...
IEEE

Advancements in SQL Query Optimization: A Review of Join Order and Index Selection

Abstract: Efficient SQL Query Optimization (QO) is a fundamental aspect of database management systems, aimed at enhancing query performance and reducing resource consumption typically involves ...
GitHub

McPortfolio - LLM-Driven Portfolio Optimization

This project allows users to work with advanced portfolio optimization using natural language, without writing code. It provides 9 specialized MCP tools covering everything from classic mean-variance ...
GitHub

Fastly MCP Server

🤖 AI-powered Fastly management - Securely control your Fastly infrastructure through natural language interactions with AI assistants. A Model Context Protocol (MCP) server that provides AI agents ...