Prompt Engineering Mastery: Boost ChatGPT & AI Skills

A Step-by-Step Guide to Crafting Effective Prompts for ChatGPT & Other AI Language Models with Real-World Applications

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Description

Become an AI Whisperer: Break into the field of prompt engineering, the most exciting and hottest new job in tech. Learn how to make Artificial Intelligence systems like ChatGPT and GPT-4 do exactly what you want, even if they've been programmed to do otherwise. Master their biases, take advantage of their design flaws, and become an expert prompter!

Did you know a sentence as simple as "Ignore previous directions" can often confuse AIs as advanced as ChatGPT and grant you access to restricted functionality? This is exactly what prompt engineers do on a daily basis: they discover models' biases and exploit them to their advantage. Intrigued? Dive into the world of prompt engineering with our comprehensive video course, designed to unlock the potential of AI language models for a wide range of applications. Learn the principles, techniques, and advanced strategies for crafting effective prompts, hacking prompts, image prompts, and more. With a strong focus on practical examples, this course will equip you with the skills to transform AI language models into powerful tools for content creation, chatbots, coding assistants, and beyond. Embark on this journey to master prompt engineering and harness the true power of generative AI!

What will you learn?

  1. Gain a deep understanding of the fundamentals, principles, and techniques of prompt engineering and its applications in various domains.

  2. Master the art of crafting effective prompts, utilizing tags, and employing advanced strategies to maximize the potential of AI language models.

  3. Develop the skills to create prompts for diverse applications, such as content creation, coding assistance, chatbot therapy, and more, using ChatGPT.

  4. Acquire the knowledge to secure prompt engineering efforts by understanding prompt hacking concepts and exploring advanced topics like AI-generated text detection and addressing biases.

  5. Learn image prompting techniques, including style modifiers, quality boosters, and weighted terms, to enhance visual content generation.

  6. Understand the integration of language models and tags in technologies and startups for improved outcomes.

  7. Gain proficiency in addressing limitations and potential biases in AI language models, leading to more responsible and ethical use of technology.

  8. Stay updated on cutting-edge developments in prompt engineering, equipping you with the skills to adapt and innovate in a rapidly evolving field.

What You Will Learn!

  • Gain a deep understanding of the fundamentals, principles, and techniques of prompt engineering and its applications in various domains.
  • Master the art of crafting effective prompts, utilizing tags, and employing advanced strategies to maximize the potential of AI language models.
  • Develop the skills to create prompts for diverse applications such as content creation, coding assistance, chatbot therapy, and more using Chat GPT.
  • Acquire the knowledge to secure prompt engineering efforts by understanding prompt hacking concepts, and explore advanced topics like text detection ect.

Who Should Attend!

  • Content creators and digital marketers looking to leverage the power of AI language models for generating high-quality, engaging content across various platforms.
  • Developers and engineers interested in integrating AI language models, such as Chat GPT, into their projects for tasks like coding assistance, chatbot development, and more.
  • AI and machine learning enthusiasts seeking a comprehensive understanding of prompt engineering techniques and strategies to enhance their skillset in natural language processing.
  • Startup founders and product managers aiming to harness AI language models to create innovative products or improve existing services in their businesses.
  • Educators and researchers focused on responsible AI practices, who wish to explore prompt engineering for addressing biases, limitations, and ethical considerations in AI language models.