Prompting 101

In this "Prompting 101" podcast, Hannah and Christian from Anthropic's applied-ai team discuss best practices for prompt engineering, which involves writing clear instructions and providing context to language models like Claude. They use a real-world scenario inspired by a customer dealing with Swedish car insurance claims to demonstrate how to build an effective prompt. They emphasize an iterative approach, starting with a basic prompt and refining it based on Claude's responses. The discussion covers structuring prompts with task descriptions, content, detailed instructions, and examples, as well as incorporating background details, data, and specific tones. They also touch on using examples, conversation history, task reminders, output formatting, and prefilled responses to shape Claude's output and improve its accuracy in assessing fault in car accident reports.