Anton Cherepov Enhancing Mobile App UX: AI-Powered Optimization Strategies
This article discusses a mobile tour app architecture that uses server-side computing and real-time, location-based client interaction. The goal of the architecture is to provide smooth transitions between stories and produce verifiable, reliable information and optimal speech speed, working online and offline, adapting to the user's interests and deviations from the route.
The AI Revolution in Tourism: A Deep Dive into Market Dynamics and Opportunities
The article examines the recovery of Canada's tourism industry following the COVID-19 pandemic. The difficult period of 2020 and 2021 gives way to an increase in the number of travelers in 2023. Neural networks being introduced into the industry play a key role in creating personalized offers and improving the quality of service, making travel more comfortable and affordable.
Enhancing Tour Experiences: Which LLM is better for Tour Guide Generation
The article analyzes the role of large language models (LLM) in the creation of excursion texts and the limitations that arise when using them. We compared Bard, Lambda, ChatGPT, Cohere and other LLMs for their ability to create high-quality, engaging travel copy.
Interview With Kirill Sergeev: Tools for Mass Production of Products Using AI: Do We Have Everything We Need
In this interview our SEO Kirill Sergeev discusses the current state of AI tools for mass production. He explores the practical challenges of deploying neural networks, such as quality control, performance, and security, alongside their potential benefits.