How to optimize content for AI search engines: A step-by-step guide

Learn how AI content optimization helps your website get cited by ChatGPT, Perplexity, and Google AI Overviews.

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 ...

Why your LLM bill is exploding — and how semantic caching can cut it by 73%

Semantic caching is a practical pattern for LLM cost control that captures redundancy exact-match caching misses. The key ...
IEEE

Efficient Cardinality and Cost Estimation with Bidirectional Compressor-based Ensemble Learning

Abstract: Query optimization is of great importance for the performance of a database, in which cardinality and cost estimation have a pivotal role. To enable accurate cardinality and cost estimation, ...
IEEE

Exploring the Effectiveness of Feature Reduction and Kernel-Based Matching for Query-by- Example Spoken Term Detection Using CNN

Abstract: Query-by-example spoken term detection (QbE-STD) refers to the search for an audio query in a repository of audio utterances. A common approach for QbE-STD involves computing a matching ...
GitHub

ilxqx/vef-framework-go

A modern Go web development framework built on Uber FX dependency injection and Fiber, designed for rapid enterprise application development with opinionated conventions and comprehensive built-in ...