Large Language Models | How Large Language Models Work? | Introduction to LLM | Simplilearn
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Dive into the world of Large Language Models with our How Large Language Models Work video! In this Introduction to LLM video, we explore the fascinating technology behind large language models like GPT-3 and their impact on AI. Discover how these models work, their impressive capabilities, and how they’re transforming fields like natural language processing and machine learning.
Here in this Introduction to LLM video, we cover the following topics:
00:00 Introduction
02:09 From RNNs to Transformers
05:07 Transformer Architecture Diagram
07:21 Why Transformers Can Predict Text?
08:16 What is LLM
09:37 Capabilities
10:39 Real World Applications
11:42 How Do Large Language Models Work?
12:03 Learnings
12:28 Customization Techniques
12:58 Types
13:37 Advantages and Challenges
✅What are large language models?
Large language models are advanced AI systems capable of understanding and generating human-like text based on vast amounts of data. They excel in tasks like translation, summarization, and conversation due to their deep learning architecture
✅Q2 How do large language models work?
They use complex algorithms and deep learning techniques to predict and generate text. By processing large datasets, these models learn patterns in language, enabling them to create coherent and contextually relevant responses.
✅Q3 What are some applications of large language models?
These models are used in chatbots, virtual assistants, automated content creation, and enhancing search engines and recommendation systems.
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