{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/35fed0fecebb43bd9cdce449814b54a9\" frameborder=\"0\" width=\"1920\" height=\"1440\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1440,"width":1920,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1440,"thumbnail_width":1920,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/35fed0fecebb43bd9cdce449814b54a9-00001.gif","duration":138.84,"title":"Prompt Engineering Best Practices","description":"In this video, I, Ryan from the Customer Success Team at OpenAI, discuss the concept of Prompt Engineering. Prompt Engineering is the art and science of optimizing natural language inputs to effectively interact with the model and obtain relevant and accurate responses. I provide examples of different prompt types and share key ingredients and advanced techniques for prompt engineering. This video aims to help you improve your prompt engineering skills and get better outputs from the model."}