Prompt Engineering in Python, with GPT, and the OpenAI API
Enhance LLM prompts, test AI responses, and build advanced applications with the OpenAI API
Created by Slava Razbash
Explore practical techniques for refining AI prompts and integrating the OpenAI API using Python. Learn to build chatbots, improve GPT model responses, and handle advanced AI tasks through hands-on projects. Gain the skills to create smarter, more reliable AI applications for real-world use.
Packt | Jul 2024 | 124 min
What You Will Learn
You will start by setting up the OpenAI API and experimenting with prompt refinement. Through hands-on projects, you'll apply advanced techniques like chain-of-thought reasoning and JSON mode for structured outputs. Real-world exercises help you build chatbots, mitigate hallucinations, and work with multimodal AI, ensuring you gain practical, actionable skills.
Key Features
- Refine AI prompts to optimize GPT model responses and reduce errors
- Integrate the OpenAI API with Python for seamless AI-driven applications
- Develop chatbots and process images using advanced multimodal AI techniques
Target Audience
Ideal for developers, data scientists, and AI enthusiasts with some Python experience who want to advance their prompt engineering skills. If you're looking to build smarter AI applications, refine prompt accuracy, or leverage the OpenAI API in your projects, you'll find clear guidance and practical examples to help you reach your goals.
