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
Evaluating performance against benchmarks
Evaluating AI models against benchmarks helps in assessing their effectiveness and guiding improvements, which is vital for maintaining quality in AI applications.
What are Large Language Model (LLM) Benchmarks?
Evaluating LLM-based Applications
Precision, Recall, F1 score, True Positive|Deep Learning Tutorial 19 (Tensorflow2.0, Keras & Python)