The OWASP Top 10 for LLMs is a list of the most critical and prevalent security risks facing large language models (LLMs). The top 10 risks include prompt injection, insecure output handling, training data poisoning, model denial of service, supply chain vulnerabilities, sensitive information disclosure, insecure plugin design, excessive agency, overreliance, and model theft. These risks can be mitigated by following OWASP's recommendations, such as treating LLMs like external users, validating user input and output, using sandboxing for training data, implementing rate limiting and input validation, and ensuring secure plugin design and authorization. The guide provides a comprehensive overview of the top 10 risks and offers practical advice on how to address them, helping developers navigate the security challenges of AI-enhanced applications.