Mastering Prompt Engineering | Techniques, Security Risks & Best Practices скачать в хорошем качестве

Mastering Prompt Engineering | Techniques, Security Risks & Best Practices

In this video, we dive deep into Prompt Engineering — one of the most important skills when working with Generative AI models like ChatGPT and Bard. You’ll learn: • What prompt engineering really means • Why prompts control AI output quality • How to structure effective prompts • The anatomy of a good prompt (instructions, context, input data, output format) • Zero-shot, few-shot & chain-of-thought prompting • Role-based prompting and constraints • How to reduce hallucinations and bias • Security risks like prompt injection and jailbreaking Generative AI models are powerful, but they are probabilistic and can produce biased or incorrect outputs. The way you frame your prompt directly impacts the accuracy, creativity, and reliability of the response. By the end of this video, you'll understand how to write clear, structured, and optimized prompts to get the best results from AI systems. This video is part of my Generative AI learning series. Subscribe for more content on Generative AI, LLMs, and AI fundamentals. #generativeai #aiforbeginners #learnai #promptengineering @learnfocusnflow