Learn Chat Gpt 4
This educational course aims to provide a comprehensive understanding of GPT-4 and Transformer architectures, focusing on their core concepts, integration techniques, application development, ethical considerations, customization, evaluation, and the societal implications of AI-generated content. Users will learn about the nuances of language models, how to utilize ChatGPT in applications, and the ethical responsibilities associated with AI usage.
Introduction to GPT-4 and Transformer Architectures
Core Concepts in Language Models
Integrating ChatGPT API into Applications
Building Applications with ChatGPT
Ethical Considerations and Responsible AI Usage
Customizing and Evaluating AI Models
Implications of AI-generated Content
Concept of tokens in language models
Grasping the concept of tokens is fundamental to understanding how language models interpret and generate text, making this knowledge crucial for effective model training and usage.
How Large Language Models Work
Parameters vs Tokens: What Makes a Generative AI Model Stronger? 💪
Large Language Models explained briefly