and their own data. A retailer could use NLWeb to create a chatbot that helps users choose clothing for specific trips, for example, while a cooking site could use it to build a bot that suggests ...

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Abstract: Existing liner power flow (LPF) models do not consider the non-smooth constraint ... with higher computational accuracy compared to existing data-physical hybrid driven models.

You start with a core idea or problem, then “dust” that prompt across different chatbots. Each bot interprets the prompt a little differently based on its training data, tone and design.

(Chatbot logs can use encryption, but especially on major platforms ... Like the NSA’s anti-terrorism programs, the data-sharing could be framed in wholesome, prosocial ways.

Abstract: Traffic flow Forecasting is essential in intelligent transportation systems. Although graph neural networks perform well with non-Euclidean traffic data, they exhibit limits ... capture ...

ChatGPT and other AI chatbots use so-called large language models (LLMs). These are a type of AI capable of generating and understanding human language. They are trained on data and text. Meta, the ...

Generative AI tools like ChatGPT and Gemini let you use conversational language to interact via text and voice prompts. These programs are already changing how we use computers, so it was only a ...