How to Use Large Language Models (LLMS) such as GPT-3 and ChatGPT?

Course Overview

LLMs are a powerful tool for natural language processing (NLP). They are a type of deep learning model that can be used to process and generate large amounts of text. LLMs are particularly useful for tasks such as text generation, text summarization, and natural language understanding.

LLMs are based on neural networks, which are a type of artificial intelligence (AI) that can learn from data. Specifically, LLMs are based on the Transformer architecture, which uses sequences of data in order to make predictions. This makes them well-suited to tasks such as natural language processing, where the input is often a sequence of words.

LLMs can be used for a variety of use cases. For example, they can be used to generate text summaries of long documents, to generate creative stories or poetry, to classify text into categories, and to generate natural language responses to user queries.

This is a course on LLMs that can help you learn more about this powerful technology. The course covers topics such as the fundamentals of neural networks and recurrent neural networks, the different types of LLMs and their applications, and the best practices for building and deploying LLMs.

https://hubs.li/Q01BkRsz0