An AI knowledge base is a collection of information that an artificial intelligence system can search and use when answering questions or completing tasks. Instead of relying only on what an AI model learned during training, an AI knowledge base gives it access to specific documents, websites, databases, company information,…

Artificial intelligence can have a significant environmental footprint, but the answer to “is AI bad for the environment” is more complicated than a simple yes or no. AI systems require electricity to train and operate, data centers need cooling, and the hardware behind AI depends on energy- and resource-intensive manufacturing.…

Deploying an AI model into production is very different from training one in a notebook. A model can achieve impressive results during development and still become difficult to operate once real users, live data, security requirements, and business expectations enter the picture. This gap is at the heart of many…

AI contextual refinement is the process of improving an artificial intelligence system’s output by giving it better context, evaluating its response, and adjusting the result based on the situation, user intent, or additional information. Instead of treating every request as an isolated instruction, contextual refinement helps an AI system produce…

Customer service has traditionally depended on people answering questions through phone calls, email, live chat, and social messaging. As customer expectations for quick responses have increased, businesses have looked for ways to handle routine interactions without making customers wait for an employee. Conversational AI for customer service uses artificial intelligence…

Generative AI is often discussed alongside traditional artificial intelligence, machine learning, automation, and data analysis. That can make it difficult to tell which tasks actually qualify as generative AI tasks. The key difference is what the system does with the information it receives: does it produce something new, or does…

Artificial intelligence has become a practical part of the U.S. job market, but finding the right AI career is not as simple as searching for jobs with “AI” in the title. Some positions focus on building machine learning models, while others involve data, software engineering, AI infrastructure, product management, or…

Samsung’s Galaxy AI is a collection of artificial intelligence features built into compatible Galaxy smartphones, tablets, and other devices. Rather than being a single chatbot or standalone app, Galaxy AI is integrated into everyday parts of the Galaxy experience, including the camera, phone calls, Samsung Notes, messaging, web browsing, and…

Azure AI Fundamentals is the foundation for understanding how artificial intelligence can be developed and used with Microsoft Azure. It covers the basic ideas behind AI and machine learning while introducing the Azure services and tools used to build practical AI solutions. For beginners, the subject can initially seem broad…

Open source AI models are AI models whose underlying components are made available under terms that give users meaningful freedoms to use, study, modify, and share the system. They are becoming an important alternative to AI services that can only be accessed through a company’s website or API. But there…