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What are Large Language Models (LLMs) | Use Case | Generative AI | Amit Thinks

Summary

Large Language Models (LLMs) play a vital role in generative AI and deep learning, supporting popular chatbots like GPT, Co-Pilot, and Google Gemini. These pre-trained and fine-tuned models are specifically designed for natural language generation tasks. LLMs, such as Palm and Palm 2, are equipped with billions of parameters and are essential for powering AI chatbots to produce human-like text and tackle various language-based challenges with remarkable efficiency, even in scenarios with minimal domain-specific training data.

Chapters

Introduction to Large Language Models
Understanding LLMs and Use Cases
Example of Palm and Transformer Models

Introduction to Large Language Models

Large Language Models (LLMs) are discussed as part of generative AI and deep learning, powering chatbots like GPT, Co-pilot, and Google Gemini. LLMs are pre-trained and fine-tuned for specific purposes in natural language generation.

Understanding LLMs and Use Cases

LLMs are AI models within deep learning used to understand and generate human-like text, acting as the backbone for AI chatbots. They enable chatbots to create natural phrase recommendations and solve various tasks with billions of parameters.

Example of Palm and Transformer Models

Example of Palm and Palm 2 as Transformer-based large language models with billions of parameters. Palm 2 is a Pathways language model with a large training dataset, showcasing the effectiveness of LLMs with little domain training data for few-shot or zero-shot scenarios.

What are Large Language Models (LLMs) | Use Case | Generative AI | Amit Thinks

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