{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/164542066f9e400f8e3503c93b9c9062\" frameborder=\"0\" width=\"1280\" height=\"960\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":960,"width":1280,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":960,"thumbnail_width":1280,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/164542066f9e400f8e3503c93b9c9062-1687287191254.gif","duration":545.896,"title":"Understanding prompts and completions 🤖","description":"Hi!\n\nIn this video, I'm going to explain the concept of prompts and completions and how they work in training your AI. Prompts and completions refer to how interactions take place between the user and the AI model. Whatever the client enters is the prompt and what the AI model responds with is the completion. We use this terminology because not everything you write as a prompt is going to be a question, and therefore not everything that comes back is going to be an answer.\n\nWe train your AI with your data in two training rooms: expertise and knowledge-based training room and prompts and completions training room. We provide lines of data, and these are siloed lines of data. So each line which is a prompt and a completion doesn't interact with any other lines, they have to be stand-alone.\n\nWe also have an opportunity to train your AI's prompts and completions in the fine-tuning and feedback section. We'll go into more detail about the nuances of prompts and completions and exactly how you can find them, create them, and how you can structure your data sets to make sure you have a really good amount of data, but also a high quality level of data in other videos."}