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Master prompt engineering for LLMs, covering summarization, inference, transformation, expansion, and chatbot development.
Overview
This concise short course from DeepLearning.AI teaches developers how to effectively leverage large language models (LLMs) like ChatGPT. Taught by Isa Fulford from OpenAI and Andrew Ng, you'll learn two core principles for writing clear and specific prompts, alongside practical tactics for summarization, inference, text transformation, and text expansion. The curriculum also includes a hands-on segment on building a custom chatbot, focusing on best practices for real-world application of LLMs.
Instructor
Isa Fulford
Member of Technical Staff, OpenAI
Isa Fulford is a Member of Technical Staff at OpenAI, where she plays a crucial role in product development and research related to large language models. She is an expert in applying advanced AI models to solve real-world problems.
Learning Outcomes
- Apply two key principles for effective prompt writing.
- Implement tactics for summarization, inference, transformation, and expansion with LLMs.
- Develop custom chatbots using prompt engineering techniques.
- Understand best practices for building LLM-powered applications.