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Prompt Engineering in Python, with GPT, and the OpenAI API
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | 2 Hours Duration | 787.05 MB
Genre: eLearning | Language: English
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.
What you will learn
Master prompt engineering techniques in Python
Implement and optimize the OpenAI API for various applications
Mitigate hallucinations and enhance AI responses
Develop custom AI solutions for personal and professional use
Extract and process numerical data from textual information
Create and refine custom prompts for various AI tasks
Audience
This course is designed for technical professionals, data scientists, and AI enthusiasts. Prerequisites include a basic understanding of Python programming and familiarity with AI concepts. Prior experience with APIs and machine learning is beneficial but not required.
About the Author
Slava Razbash:
Slava Razbash has been a prominent figure in data science since 2011. His extensive career includes positions at the Commonwealth Bank of Australia,
Sportsbet (Flutter Entertainment), Tabcorp, Coles, and AGL. Throughout his tenure, Slava has tackled numerous data science and machine learning engineering challenges,
continually expanding his expertise with new technologies. Now, on Udemy, Slava brings his wealth of knowledge to guide you through mastering the latest in AI-Large Language Models
(LLMs).Join him in a step-by-step journey to harness the power of these cutting-edge tools and elevate your technical skills.
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