IBM's definition of cybersecurity. Learn how modern threats evolve with technology, stay ahead with trends and access the latest security reports.| www.ibm.com
version 1.0 Preamble Why we need Open Source Artificial Intelligence (AI) Open Source has demonstrated that massive benefits accrue to everyone after removing the barriers to learning, using, sharing and…| Open Source Initiative
Start building with Granite 4.0, our family of open, performant and trusted AI models, tailored for business and optimized to scale your AI applications.| www.ibm.com
Generative AI is artificial intelligence (AI) that can create original content in response to a user’s prompt or request.| www.ibm.com
This privacy statement describes how IBM collects, uses, and shares personal information about consumers and other individuals within our clients, business partners, supplier and other organizations with which IBM has or contemplates a business relationship.| www.ibm.com
Large language models are AI systems capable of understanding and generating human language by processing vast amounts of text data.| www.ibm.com
Artificial intelligence (AI) is technology that enables computers and machines to simulate human learning, comprehension, problem solving, decision-making, creativity and autonomy.| www.ibm.com
A cloud native application consists of discrete, reusable components known as microservices that are designed to integrate into any cloud environment.| www.ibm.com
Deep learning is a subset of machine learning that uses multilayered neural networks, to simulate the complex decision-making power of the human brain.| www.ibm.com
Machine learning (ML) is a branch of AI and computer science that focuses on the using data and algorithms to enable AI to imitate the way that humans learn.| www.ibm.com
A next generation enterprise studio for AI builders to train, validate, tune and deploy AI models| www.ibm.com