Summary

In this chapter, we explored various ChatGPT API models. In the ChatGPT API models – GPT-3.5, GPT-4, and beyond section, we explored the different ChatGPT API models. Then, we provided you with a deeper understanding of these AI models and their features, enabling you to choose the most suitable model for your specific applications. This chapter emphasized the importance of considering factors such as cost, quality, and prompt length when selecting a model as the most advanced and capable model may not always be the best choice. Additionally, we used Python to compare the responses and costs of different models, aiding in the decision-making process.

We also focused on the various parameters of the ChatGPT API and their impact on response quality. We highlighted key parameters such as model, messages, temperature, max_tokens, stop, and n, and explained how they can be manipulated to optimize interactions with the ChatGPT API. You learned about the importance of rate...