Complete ChatGPT Prompt Engineering Course

This lecture explains artificial narrow, general, and superintelligence—ANI, AGI, and ASI—and how humanity sits on the spectrum toward singularity. It shows how to interact with AI by writing good prompts.

Use a crafted ChatGPT prompt to reply to Lucy's email, paste the message, set context, and amend with a skeleton to shorten by 25% and remove after sales service lines.

Explore natural language processing and AI language models, including left-to-right autoregressive, masked, encoder-decoder, and multimodal models, with GPT-3.5 and GPT-4 in real exam demonstrations.

Explore zero-shot, one-shot, and few-shot prompting in AI, from relying on pre-trained knowledge to using examples to shape outputs. Learn use cases when data is scarce or quick responses matter.

Explore the pitfalls of LLMs, including hallucinations, bias, token limits, math limits, and data cutoff. Apply validation, response analysis, and tools like Wolfram Alpha, embeddings, and mitigations for prompt hacking.

Discover multimodal updates to ChatGPT plus, enabling image analysis and DALL-E 3 image generation. Learn to upload PNG or JPEG, craft prompts, and refine logos while avoiding text in images.

Follow along with the projects to build prompts using ChatGPT and Playground, applying the theory’s tools and techniques and preparing for assignments after each chapter.

Explore hyperparameters and their role in shaping model behavior within OpenAI's Playground, and learn the science and art of prompt engineering to iteratively refine prompts for better ai responses.

Choose among four modes in OpenAI's playground, focusing on complete mode and the completions API, with presets and a chat version using system, user, and assistant messages for continuous prompting.

Learn to use token probabilities to debug and influence AI text generation, toggling most likely, least likely, and full spectrum options, and adjust temperature and top P.

Learn to control computational creativity by adjusting temperature and top P, balancing accuracy and creativity while iterating to fine-tune output quality.

Learn how frequency penalty reduces repeated phrases by penalizing tokens based on prior frequency, and how presence penalty controls the creation of new concepts to shape the model's output.

Learn how to use OpenAI's chat mode in the playground, including system, user, and assistant messages, model selection, and hyperparameters to craft a blog about AI's impact.

Craft a precise system message for role-based prompting, shaping the AI as an esteemed blog writer with strong writing, research, and market skills, and a passionate audience focus.

Explore few-shot prompting and prompt engineering by refining system messages, assigning roles, and adding training examples to tailor AI blog outputs for a specific audience.

Assess ai content detectors and learn practical rewriting steps using content at scale, copy leaks, and QuillBot paraphrasing to produce more human-sounding, credible text.

Explore custom instructions in ChatGPT Plus to tailor responses, enable new-chat presets, and apply role prompting and answer engineering with examples like lesson plans, code, and grocery lists.

Learn to build a PowerPoint presentation generator prompt that writes VBA code and auto-generates slide content and visuals, using natural language prompts and text-to-image AI.

Iterate a PowerPoint deck with GPT by confirming output, changing text to white, inserting a GPT models slide, and using designer AI to style it, remember to fact-check.

Explore response analysis by prompting, receiving, and evaluating AI outputs, learn to fact-check and proofread to avoid hallucinations, and apply optimization techniques for reliable, efficient writing.

Explore how AI language models hallucinate, caused by limited training data, prompt ambiguity, and the accuracy-fluency tradeoff, and learn practical mitigation through response analysis, refinement, and feedback.

Validate web-scraped currency data by verifying sources against xe.com, and test all conversions from zar to usd using xe.com links before finalizing code.

Build a custom GPT, a large action model, that answers FAQs from an Excel spreadsheet or Google Sheets, updates the sheet, and emails responses via a human-in-the-loop workflow.

Master how to create a Google Sheets row using Zapier API actions, map a question and answer, configure the spreadsheet and worksheet, and preview before testing.

Build an Amazon sales chatbot, Amazon GPT, that identifies products and provides purchase links via OpenAI API. Learn pre programming chats, prompt hacking controls, cost-efficient prompting, and prompt consolidation.

Apply shot prompting to provide context and enable in-context learning in chatbots. Craft prompts to uncover user needs, like video editing use, and steer relevant product suggestions.

Design and deploy a human-like ecommerce chatbot for amazon.com by building a structured system prompt with role and expertise, and using shot prompting and testing to funnel shoppers toward purchases.

Train a chatbot using shot prompting to keep it in character and within scope. Adjust top P to 0.8, test responses, and streamline prompts and system message to reduce cost.

Tune prompts to extend conversations by enforcing system rules that require asking up to 10 questions before suggesting a product and ending each reply with a question.

Create a classic Pong game in Python using PyCharm and PyGame, leveraging one-click prompts and WebChatGPT for coding, then add scoring and easy to hard difficulty levels.

Create an auto reply email generator using a playground chat setup, leveraging shot prompting with an email thread to generate consistent assistant responses and system messages.

Explore how to convert Python to Java using ChatGPT, draft prompts with variables and delimiters, and troubleshoot common errors in Replit to generate email generator code.

Prompt ChatGPT to generate VBA code that creates a line graph from monthly profit data in Excel, using explicit cell ranges, then paste and run it from the developer ribbon.

Learn to use gpt for sheets in Google Sheets to identify the popular extracurricular activity and students from New York who major in math, using prompts, values, and api keys.

Learn to scrape the World Economic Forum Future of Jobs report 2023 PDF using ChatGPT tools and extract key skills for job security, including analytical thinking and AI skills.

Demonstrate two use cases, summarization and translation, using link reader to summarize a Time article on AI jobs and translate it into Chinese.

Learn how to download and run GPT-2 locally using Hugging Face, by installing Python, PyTorch, Transformers, and setting up a virtual environment with PyCharm to run the model offline.

Learn to fine-tune a large language model by preparing a csv dataset, converting it into prompt completion pairs, and training a custom model.

Explore how OpenAI embeddings convert text into numerical vectors for efficient search, clustering, and similarity analysis, with practical demos in Python, tokenization, and vector visualization.