Introduction to AI and Prompting for Large Language Models

Explore artificial intelligence and large language models, including how ChatGPT uses training data to understand and generate human-like responses. Learn how ai tools can help with writing, planning, and learning.

Discover how AI models like ChatGPT understand prompts, predict meaningful responses, and generate human-like interactions while being trained to handle conversations and evolve with advancements.

Learn how large language models transform user input into tokens, predict the next words with probability-based reasoning, and generate coherent responses that feel natural and helpful.

Discover how ai models train by ingesting text from websites, books, and articles to learn language patterns. Modern llms retrieve real-time information from the internet to stay up to date.

Explore how AI models like ChatGPT maintain conversation flow by remembering context across a dynamic thread through a context window, enabling natural, on-topic follow-up questions and dialogue.

Frontier models like ChatGPT, Gemini, and Claude push AI capabilities by querying the internet in real time, delivering up-to-date information, enabling contextually rich answers, and promoting ethical, user-centric AI.

Define clear goals to maximize ChatGPT's potential in your personal and professional life. Keep things simple, embrace experimentation, and become confident in integrating ChatGPT as a valuable daily tool.

Explore integrating AI into your life with tools like ChatGPT, and build confidence through a holistic approach that starts small and connects knowledge to tasks.

Discover the keys to success with ChatGPT: keep it simple, define clear goals, and practice through experimentation to unlock productivity and creative problem solving.

Navigate the ChatGPT web app on the free plan, exploring the sidebar, new chats, search, library, projects, and prompts, with tips to access tools and manage history.

Define a prompt as a text input or a command guiding a language model, with four parts: context, instruction, input data, and output format.

Learn how to craft effective prompts that provide clear context and scope for AI language models, boosting accuracy, relevance, and efficiency by avoiding ambiguity.

Explore the four prompt elements—context, instructions, input data, and output format—and learn to craft clear, concise prompts that guide LLMs toward targeted, iterative results.

Craft clear, concise prompts and iteratively refine them with context and specificity to avoid misinterpretation, while recognizing LLMs can hallucinate and should be verified.

Apply eight practical tips for writing prompts to improve large language model responses: be clear and specific, provide context, use direct instructions, and specify output format.

Explore artificial intelligence and large language models, including how ChatGPT generates text, and apply practical prompt writing strategies to shape input context, instructions, data, and output formats with hands-on practice.

Explore how to access and interact with prompt-driven chatbots, learn the score rubric (specificity, context, output format, references, and evaluation), and practice prompts across first principles and deep dive activities.