Prompt Engineering For Generative Ai: Future-Proof Inputs Reliable Ai Outputs Mike Taylor O&Apos Reilly Media Αγγλικά Βιβλία Computing And Technology

Large Language Models (Llms) And Diffusion Such As Chatgpt Stable Have Unprecedented Potential Because They Been Trained On All The Public Text Images Internet Can Make Useful Contributions To A Wide Variety Of Tasks With Barrier Entry Greatly Reduced Today Practically Any Developer Harness Llms Tackle Problems Previously Unsuitable For Automation This Book You\ Ll Gain Solid Foundation In Generative Ai Including How Apply These Practice When First Integrating Into Their Workflows Most Developers Struggle Coax Reliable Enough Results From Them Use Automated Systems Authors James Phoenix Mike Taylor Show You Set Principles Called Prompt Engineering Enable Work Effectively Learn Empower Explains: Structure Interaction Chain Your Program\ S Model Fine-Grained Steps Between Requests Arise Transforming Application Problem Document Completion Training Domain Influence Llm Architecture-And Best Interact It Domains Natural Processing Image Generation Code Σελίδες: 396 Διαστάσεις: 17 8X17 8Cm