AI agent fervor has permeated the software development world. But, we’re no longer talking about a singular, all-knowing AI. Rather, emerging agentic workflows rely on multiple specialized agents ...

In our earlier article, we demonstrated how to build an AI chatbot with the ChatGPT API and assign a role to personalize it. But what if you want to train the AI on your own data? For example, you may ...

Abstract: While LLMs like ChatGPT, Claude, and Gemini have proven effective at handling common, everyday tasks, they often lack the domain-specific expertise necessary for more specialized ...

A knowledge base can help to keep prospective buyers and established customers informed, but to work it needs to be informative, concise, and consistent. To help your organization put its best foot ...

LLMs have demonstrated strong reasoning and knowledge capabilities, yet they often require external knowledge augmentation when their internal representations lack specific details. One method for ...

Large language models (LLMs) have demonstrated remarkable capabilities in reasoning, language understanding, and even creative tasks. Yet, a key challenge persists: how to efficiently integrate ...

Integrating AI isn’t enough—businesses must structure, train and continuously refine their knowledge bases to ensure accuracy, usability and painless CX. As customer expectations rise, businesses are ...

Proactive customer service gives you more opportunities to provide helpful answers and steer customers toward purchases. When you think of customer service, you likely imagine a team of agents ...

In the context of power generation companies, vast amounts of specialized data and expert knowledge have been accumulated. However, challenges such as data silos and fragmented knowledge hinder the ...

Knowledge bases like Wikidata, Yago, and DBpedia have served as fundamental resources for intelligent applications, but innovation in general-world knowledge base construction has been stagnant over ...