1. Know what it is: GPT-3 is a language model developed by OpenAI that can generate human-like text based on a given prompt. It is trained on a massive dataset of text data using deep learning techniques.
2. Understand how it works: GPT-3 uses a transformer-based neural network architecture with multiple layers of self-attention to learn contextual relationships between words and phrases. It generates text by predicting the most likely word or phrase given the previous context.
3. Know its capabilities: GPT-3 is capable of generating high-quality and coherent text in a wide range of styles and genres, including news articles, poetry, and creative writing. It can also be fine-tuned on specific tasks to improve its performance.
4. Know its limitations: GPT-3 is not perfect and can sometimes generate text that is nonsensical or irrelevant to the prompt. It also has limitations in terms of generating long-form coherent text or understanding complex concepts.
5. Understand the ethical implications: GPT-3 can be used for both beneficial and harmful purposes, and it's important to understand the ethical implications of its use. For example, it can be used to generate fake news or propaganda, or to automate jobs that were previously done by humans.
6. Know how to use it: To use GPT-3, you need access to the OpenAI API and knowledge of how to create prompts and use the API to generate text. It's also important to experiment with different parameters and fine-tuning techniques to get the best results.

In summary, understanding GPT-3 requires knowing what it is, how it works, its capabilities and limitations, the ethical implications of its use, and how to use it effectively. By following these guidelines, you can better understand and utilize GPT-3 in your work or projects.