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At 0:00, the video introduces how to properly compose prompts for neural networks. At 1:01, it discusses the importance of correct request formulation for accurate responses. At 2:00, it shows examples of incorrect requests and explains why the neural network gives incorrect or superficial answers. At 2:29, it presents a curated set of prompts for ChatGPT. At 2:40, it explains how the neural network processes requests and how context works. At 3:00, it highlights the importance of the context window and what happens if too much information is loaded. At 3:25, it discusses errors caused by context overload or repeated requests. At 3:41, it notes that while algorithms are constantly improving, basic principles remain unchanged. At 3:57, it offers tips on how to craft prompts with more specific information for precise answers. At 4:10, it emphasizes that more specificity leads to better results. At 4:28, it suggests asking the neural network to ask additional questions to clarify the task. At 4:42, it explains the role of the neural network as an 'interviewer' to improve query quality.