AI Generated Content(AIGC) refers to a subset of artificial intelligence technologies that can generate new content, including text, images, audio, and video, by learning from vast amounts of data. These systems understand patterns, styles, or features from the data they are trained on, and then use this understanding to create new, original outputs that resemble Read More
AI technologies refer to the foundational algorithms, methodologies, and principles that underpin artificial intelligence systems. These are the core innovations and scientific advancements that enable machines to perform tasks that would typically require human intelligence. AI technologies are the building blocks of AI systems, encompassing a broad spectrum of capabilities, from machine learning and deep Read More
AI tools are specific software or platforms that leverage AI technologies to enable developers, researchers, and businesses to build, implement, and manage AI systems. These tools are designed to make AI more accessible and practical, allowing for the application of AI technologies without the need to delve into the complex underlying algorithms. AI tools can Read More
Artificial intelligence (AI) refers to the development of computer systems that are capable of performing tasks which typically require human intelligence. These tasks include understanding natural language, recognizing patterns and images, making decisions, and solving problems. AI systems are designed to learn from data, allowing them to improve their performance over time. They can be Read More
Computational systems power our digital world, making life easier and more connected every day.
Large Language Models (LLM) are complex neural networks that are trained on vast amounts of text data. They are capable of understanding and generating human-like text by learning the patterns and structures of language. These models are typically trained on a wide range of sources, including books, articles, websites, and even social media posts.
Natural Language Processing (NLP) is a subfield of artificial intelligence that focuses on the interaction between computers and human language. It involves teaching computers to understand, interpret, and generate human language in a way that is both meaningful and contextually relevant.
