| Sumario: | This comprehensive course guides you through the multifaceted world of prompt engineering using Python and the OpenAI API. Starting with an overview of the course, you will understand the key differentiators and the unique advantages this training offers. You'll be introduced to the concept of using ChatGPT as a personal coach, learning to turn this AI into a tailored educational guide. The second section delves into building effective prompts, mitigating hallucinations, and ensuring optimal answers from AI models. You'll set up your OpenAI API key and embark on a hands-on journey through Python API prompting. This part emphasizes iterative prompt improvement and introduces advanced concepts such as Chain-of-Thought prompting. You'll learn to induce and mitigate hallucinations in language models and apply findings from cutting-edge research papers like EmotionPrompt in practical scenarios. In the final sections, you'll construct a Python API chatbot and explore the nuances of prompt hacking. The course also covers extracting numerical values from text data and testing prompts, pushing GPT 3.5 capabilities closer to GPT 4 through intelligent prompt strategies. By the end of this course, you will have a robust understanding of prompt engineering and be equipped to develop sophisticated AI applications.
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