Learn this course using Coursnap to play highlights, enabling you to watch the key 10% of the video. Acquire efficient learning guides and utilize AI-driven transcripts for easier reading. https://learn.coursnap.app/share/video/9c1b4455-a This lesson comes from [https://learn.deeplearning.ai/reinforcement-learning-from-human-feedback] (https://learn.deeplearning.ai/reinforcement-learning-from-human-feedback) This video course introduces ChatGPT Prompt Engineering for Developers. The course will be led by Andrew Ng The keynote speaker shared best practices for ChatGPT prompt engineering with OpenAI Technical team member Iza Fulford. The course emphasizes Large Language models (LLMS) as a developer tool, calling LLMS through apis to quickly build software applications. Two types of LLM are highlighted: Basic LLM and Instruction Adjusted LLM. Tuning LLM with instructions is recommended because it is easier to use and more secure. The video also explores the principles of cue engineering, including making specific instructions clear and giving the model enough time to think.