Discover what a large language model is and how it processes and generates human-like text. Get a detailed explanation to excel in the Infosys Certified Applied Generative AI Professional certification exam.
Table of Contents
Question
What is a large language model?
A. A model that can process and generate human-like text
B. A model that specializes in image recognition
C. A model designed for speech synthesis
D. A model used for data visualization
Answer
A. A model that can process and generate human-like text
Explanation
A large language model (LLM) is a type of artificial intelligence model that is trained on vast amounts of textual data to understand, process, and generate human-like text. These models use deep learning techniques, such as transformer architectures, to learn the intricacies of human language, including grammar, context, and semantics.
Key characteristics of large language models include:
- Ability to understand and respond to a wide range of topics and queries
- Capacity to generate coherent, contextually relevant, and human-like text
- Adaptation to various linguistic styles and domains
- Potential for few-shot or zero-shot learning, enabling them to perform tasks with minimal additional training
Large language models have revolutionized natural language processing (NLP) and have been applied to numerous tasks, such as language translation, summarization, question answering, and content generation. Their ability to comprehend and produce human-like text has opened up new possibilities in fields like chatbots, virtual assistants, and content creation.
In the context of the Infosys Certified Applied Generative AI Professional certification exam, understanding the fundamentals of large language models is crucial. The correct answer to the question “What is a large language model?” is option A: A model that can process and generate human-like text.
Infosys Certified Applied Generative AI Professional certification exam assessment practice question and answer (Q&A) dump including multiple choice questions (MCQ) and objective type questions, with detail explanation and reference available free, helpful to pass the Infosys Certified Applied Generative AI Professional exam and earn Infosys Certified Applied Generative AI Professional certification.