An "AI Prompter" can refer to either the process of crafting prompts for artificial intelligence or, more commonly, to a tool or software application designed to help users create and manage these prompts. These tools offer features like pre-made, customizable prompts, templates, and user-friendly interfaces to simplify interacting with AI models, while the process involves understanding the AI's purpose and providing clear instructions to get desired outcomes.
7 Kursus TersediaThis comprehensive course, taught by Google AI experts, is designed to help you master generative AI prompting. It covers the core prompting framework (Task, Context, References, Evaluate, and Iterate) and provides practical, real-world examples for tasks like brainstorming, drafting emails, and summarizing documents. You'll also learn advanced techniques such as prompt chaining, creating specialized AI agents, and using multimodal prompting to enhance your workflow. The video concludes with a focus on responsible AI use, including the importance of fact-checking and avoiding the input of confidential information.
This video provides a guide on how to leverage generative AI tools to boost productivity and creativity in your daily tasks. It introduces a practical four-step prompting framework (Task, Context, Evaluate, Iterate) and demonstrates its use in real-world scenarios. You will learn to draft and iterate on emails, brainstorm ideas for projects, create organized schedules, and effectively summarize and transform large documents.
This introductory course provides a comprehensive guide to generative AI and the art of writing effective prompts. Taught by Google AI experts, the video introduces a five-step Prompting Framework (T.C.R.E.I.), covering how to specify tasks, provide context, add references, and iterate on your prompts for better results. The course also explores multimodal prompting, showcasing how AI can process and generate different types of media, and emphasizes the importance of using these powerful tools responsibly.
This video provides a guide to using generative AI for complex projects by transforming abstract ideas into concrete, step-by-step solutions. It covers prompt chaining, a technique for guiding AI through a series of interconnected prompts, including Chain of Thought (CoT) and Tree of Thought (ToT) methods. You'll learn how to create specialized AI agents, such as Agent Sim for practice scenarios and Agent X for expert consultation. The video also introduces the concept of prompt versioning to build a personal "prompt library" for future use.
his video provides a comprehensive guide on using generative AI tools to analyze, visualize, and present data. You'll learn a practical prompting framework for uncovering insights and patterns in datasets, and how to use AI to understand and write complex spreadsheet formulas. The course also covers how to use AI to determine the best charts and graphs for your data and how to structure and create compelling presentations with custom visuals and speaker notes.
This video provides a comprehensive guide to prompt engineering, the art and science of communicating effectively with large language models (LLMs) like Gemini and ChatGPT. You'll learn what LLMs are, their key limitations (such as hallucinations and bias), and the core principles for writing effective prompts. The course covers practical strategies, including being specific, using action verbs, and iterating on your prompts to get the best results. The video also showcases common use cases for LLMs, such as summarization, content creation, and problem-solving.
Learn prompt engineering techniques to get better results from ChatGPT and other LLMs.