How Do LLMs Work In Natural Language Processing? - AI and Machine Learning Explained
Автор: AI and Machine Learning Explained
Загружено: 2025-10-20
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How Do LLMs Work In Natural Language Processing? Have you ever wondered how large language models (LLMs) understand and generate human language? In this engaging video, we'll explain the core concepts behind how these advanced AI systems work. We'll start by describing what deep learning and transformer architectures are, and how they enable models to process language more effectively. You'll learn about the process of self-attention and how it helps models determine the importance of words within a sentence. We’ll also explore how these models are trained using massive amounts of text data, and how they improve their predictions through a method called backpropagation.
Additionally, we'll discuss the surprising abilities of LLMs to perform tasks they weren’t specifically trained for, thanks to in-context learning and emergent skills. You'll see examples of how these models are used in real-world applications like chatbots, translation, content creation, and more. However, we'll also cover some important considerations, including the limitations of these models, their reliance on patterns rather than true understanding, and ethical concerns such as bias and misinformation.
Whether you're curious about the technology behind AI assistants or interested in the ethical implications of AI development, this video provides a clear overview of how large language models operate and their impact on various industries. Join us to learn more about the fascinating world of AI and machine learning!
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About Us: Welcome to AI and Machine Learning Explained, where we simplify the fascinating world of artificial intelligence and machine learning. Our channel covers a range of topics, including Artificial Intelligence Basics, Machine Learning Algorithms, Deep Learning Techniques, and Natural Language Processing. We also discuss Supervised vs. Unsupervised Learning, Neural Networks Explained, and the impact of AI in Business and Everyday Life.
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