Summary

In this course on conversational AI, we explored the fundamentals of artificial intelligence, including machine learning methods and natural language processing abilities. We delved into prompt engineering, discussed prompt structure, and focused on completing tasks with the fewest prompts. Additionally, we explored prompt tuning, to follow-up and maintain the AI conversation. Finally, we learned how to achieve the best results by keeping the chat positive.

If you enjoyed the course, your next step might be to build your own chatbot. Many companies license their LLMs, which you can then modify or personalize based on their usage policy. For example, you can customize a website chatbot by entering your product names, specifications, and photos.

One of the most exciting aspects of AI is its versatility, with many different applications. You can approach conversational AI as a student, teacher, businessman, programmer, artist, writer, marketer, etc. Simply start by asking, “How can you help me accomplish my goal?”

Remember that AI models are a result of their training and can be wrong. Always check the results.

I hope you enjoyed the course and are already chatting on your own with conversational AI models. Get started!

Go to ChatGPT.