Prompt Engineering for Generative AI

Explores the multifaceted world of interacting with and optimizing large language models (LLMs) and generative AI for both text and image creation. It covers fundamental prompt engineering principles, such as giving clear instructions, specifying output formats, and providing examples, alongside advanced techniques like text style unbundling and task decomposition. The material also details the use of frameworks like LangChain for building complex AI applications, introduces vector databases for context retrieval and avoiding hallucinations, and explains various diffusion models for image generation, including practical applications of Stable Diffusion, DALL-E, and Midjourney for creative tasks and fine-tuning custom models. Finally, it touches upon AI agent design, memory systems, and evaluation methods for refining AI outputs.You can listen and download our episodes for free on more than 10 different platforms:https://linktr.ee/cyber_security_summaryGet the Book now from Amazon:https://www.amazon.com/Prompt-Engineering-Generative-James-Phoenix-ebook/dp/B0D4FBPLX1?&linkCode=ll1&tag=cvthunderx-20&linkId=9372d442bf8f567ac88b3434d8e94eb4&language=en_US&ref_=as_li_ss_tlDiscover our free courses in tech and cybersecurity, Start learning today:https://linktr.ee/cybercode_academy