Master Generative AI & Generative AI tools (ChatGPT & more)

Trace the evolution from abacus to laptops and smartphones, then explore how generative AI enables reasoning, learning, and decision making through services like ChatGPT.

Explore how generative AI models work, using a balloon and needle example to show how large language models convert prompts into numbers, predict the next word, and generate coherent text.

Learn how large language models train like a baby, using forward pass and backpropagation on internet data, then refine through reinforcement learning with human feedback and final fine-tuning.

Fine tuning customizes a pre-trained language model for a specific task using task-focused data. Explore multimodal LLMs spanning text, image, speech, and video, and compare ChatGPT, Bard, and Claude capabilities.

Embrace a balanced AI mindset and master prompt engineering to unlock tenfold productivity using LLMs as a 24/7 genius buddy, with precise, context-rich prompts for targeted results.

Apply the prompt structure by defining the task, setting context, adding examples, selecting a persona, choosing formatting, and adjusting tone to consistently improve AI outputs.

Explore the power of agentic ai with chatgpt five, learning how to use chat conversations, memories, agent mode, deep research, and multi-device integrations to boost professional, entrepreneurial, and personal tasks.

Test a simple dinosaur extinction prompt in ChatGPT and explore response editing features, including copy, thumbs up/down, read aloud, share, and quick edits.

Organize ChatGPT conversations by starting new chats for new topics and continuing threads, then use search and retrieval augmented generation to reference past chats for a homemade food marketplace PRD.

discover how temporary chats in ChatGPT stay private, not saved in history or search, and aren't used to train models.

Organize and manage your chat history in ChatGPT by understanding how chats are stored, renamed from the first question, archived, shared, and added to projects for efficient AI-driven workflows.

Discover how to create and use custom versions of ChatGPT via the GPT app store, tailoring instructions, extra knowledge, and a range of skills for specific business tasks.

Create and customize GPTs in ChatGPT by configuring knowledge bases and conversation starters, then choose models and enable web search, canvas image generation, and code interpreter to build AI assistants.

Learn the differences between paid and free ChatGPT plans, including plus and business options, and discover practical hacks to access advanced features, memory, agents, and alternative tools.

Explore how to customize and personalize ChatGPT for your needs by setting your name, role, and personality traits, test tones from formal to casual to support an execution perspective.

Explore how to customize themes, language and voice, switch models, manage memories and chat history, connect apps, and set schedules in the ChatGPT settings menu.

Learn how to use ChatGPT memory to store details from past conversations, save personalized data in memory, and reference it later to tailor empathetic, user-friendly emails and tasks.

Explore the projects feature in ChatGPT to create data-driven workflows for Udemy analyses, uploading CSVs and PDFs, and writing tailored instructions to generate actionable insights, charts, and reports.

Preview how to use the ChatGPT tools panel, including add from photos or files, Google Drive, agent mode, deep research, image creation, web search, canvas, and app connectors.

Discover how the web search feature in ChatGPT works, how to activate it, and use cases like visa wait times, stock quotes, and news from multiple sites.

Discover how ChatGPT agent mode browses, retrieves, and analyzes data from sources like Wall Street Journal, Tripadvisor, and Udemy to build insights, itineraries, course research, and presentations.

Explore how the deep research feature uses multi-source, multi-prompt analysis to deliver a long, structured report and context-aware outputs like markdown handbooks and PDFs for a data science bootcamp.

Learn how ChatGPT connectors read from Google Drive and Gmail, summarize documents, and fetch latest emails, with two-way access to apps like GitHub and Notion.

Utilize ChatGPT's task and scheduler to create timed tasks, fetch data (like Udemy courses for ChatGPT), store results, and receive daily push reports of added or removed items.

Use the canvas feature to create and update production-level documentation in ChatGPT, updating specific sections, adjusting length and audience, and exporting as PDF, Word, or MD.

Explore images library, Codex coding agent, and Sora video generation in ChatGPT. See how text-to-image and video workflows enable editing references and generating videos with aspect ratio and duration.

Explore image generation with ChatGPT by using AI to write prompts, test varied styles—from realistic photography to synthwave and abstract art—applied to product mockups and logos, with prompt engineering.

Master prompt engineering to craft high-quality prompts and maximize results from AI tools like ChatGPT. Learn the Quito process, use follow-up prompts, and apply tips to improve prompts.

Master prompt engineering for generative AI by crafting high quality prompts with background, persona, format, and a framework to prevent garbage in, garbage out and maximize responses.

Explore a prompt engineering framework that elevates response quality by structuring prompts with C (context), E (expert persona), T (task), and O (output format), with practical ChatGPT examples.

Set the task’s background information by establishing context, including the environment, problem, and situation, to ensure concise, conceptually clear understanding and accurate responses—illustrated with climate change impacts in North America.

Adopt the expert persona—the second pillar in the C2 prompt engineering framework—to shape the expert's mindset, tone, and audience for tailored, authoritative responses.

Frame tasks with action oriented, measurable, and clearly scoped deliverables to remove ambiguity and assess chatbot performance. The lecture uses a 30 day AI course marketing calendar as an example.

Explore how to control and specify output formats in generative AI, choosing bullets, tables, slides, or PDFs, and exporting results as Excel or PDF while using prompts to tailor structure.

Follow up prompts drive AI results through ongoing conversations, not a single prompt, as you refine context, audience, and output with steps like adding emojis, increasing verbosity, and citations.

Learn to use ChatGPT as a prompt generator to craft well-structured prompts from a prompt engineering framework, including context, persona, task, and output format, with follow-up questions.

Explore zero-shot, single-shot, and few-shot prompting for large language models. See how providing examples guides output format and improves alignment.

Learn to create an output template that enforces a consistent ai response structure, with fields like dish name, cuisine, healthy, nutritional value, ingredients, and recipe, plus prompting to scale.

Learn step by step prompting to break large tasks into smaller steps, seek approval, and execute each step as a query, from outlining a book to drafting chapters.

The lecture introduces ask before responding, a prompting technique that asks clarifying questions before executing tasks, illustrated with a financial analysts blog scenario to shape audience and tone.

Execute the task first, then provide improvement suggestions to refine the output. Use this approach to craft LinkedIn posts and enhance them with a visual, a hook, and prompt consistency.

Prompt triggers show how every comma, full stop, and added word can dramatically steer a model’s response, as France, Indian, or 1 million plus followers illustrate.

Master reverse engineering prompts to emulate a target writing style, extract patterns from a landmark paper, and create reusable templates for concise, highly technical AI research articles.

Explore how large language models and LMS boost your job search, resume, interviews, networking, and professional development. Discover how AI enhances daily productivity, task management, and work-life balance.

Discover how ChatGPT acts as a versatile virtual assistant for your job, career, and life by drafting emails, outlining reports, brainstorming ideas, and managing schedules.

Explore job opportunities with ChatGPT in the cutting-edge TPUs and GPUs landscape, including machine learning engineer, data scientist, and AI research scientist roles, with TensorFlow and PyTorch skills.

Learn to use ChatGPT to prioritize emails, draft responses, schedule meetings, and automate routine tasks for executives. Improve tone, clarity, and timely follow-ups.

Apply Mr. Beast’s YouTube strategies with ChatGPT to boost your channel through engaging content, high production quality, consistent posting, viewer interaction, collaborations, and generating leads.

Explore how ChatGPT functions as a personal life coach to identify time management weaknesses, set smart goals, sharpen communication, and practice language learning for personal and professional growth.

Plan a vacation with ChatGPT by defining budget, travel type, and activities, then choose Kyoto or Tokyo for cultural experiences and local cuisine, with a detailed itinerary.

This lecture examines why LLMs struggle with tricky math, comparing Claude, ChatGPT, perplexity, and Gemini on a table data task and highlighting prompt structure and outliers.

Explore Claude's strong vision capabilities for image recognition and OCR to unlock enterprise data in PDFs, charts, and slides, and compare document visual and Q&A performance with GPT and Gemini.

Learn how Claude summarizes academic papers with a concise half-page template, handling long texts via copy-paste inputs and context windows, using a Bitcoin white paper example.

Explore Claude's safety-first, constitutional AI approach: a self-contained, internet-free model with safeguards against jailbreaking, sexist or racist outputs, and improved accessibility for users with disabilities.

Examine how Claude exposes racial and gender biases in LLMs through pronoun ambiguity, safety filters, and jailbreak experiments.

Learn how Claude imitates writing styles to generate humanized, context-rich content, using prompts for market research, landing pages, and building a data science career.

Explore five core aspects of Claude by Anthropic, including its eye-safety approach, and compare image recognition and text generation with ChatGPT and other models, while examining benchmarks and biases.

Compare image recognition prompts across Claude and ChatGPT, analyzing license plate reading, weather cues, and visible haircut options, and observe Claude's self-correction about identifying a barber shop.

Examine critical reasoning in generative models using a transparent bag prompt, where visible popcorn contradicts a chocolate label, highlighting how models like Claude, GPT-4, and Jemini differ in reasoning.

Examine how AI models handle critical reasoning through tricky math word problems. Compare Claude and GPT with other models on explicit reasoning tasks and GMAT-style constraints.

Explore how Claude excels over ChatGPT with higher context length, safer responses, and stronger business use cases like writing, summarizing long transcripts, and refining requirements.

Explore text generation and creative writing with Claude vs ChatGPT, compare Shakespearean sonnets and prompts, and generate original, production-ready video ideas for content creators.

Claude outperforms GPT-4 and Gemini 1.5 on benchmarks with haiku, sonnet, and opus, offering very high context windows, near perfect needle-in-the-haystack recall, and strong business applications like task automation.

Compare Claude and ChatGPT in building industry reports using a one-page research structure and market research sources; Claude delivers deeper qualitative insights and excels at text research.

Compare Claude, ChatGPT, perplexity, and Gemini on an image recognition prompt of a speedometer, showing Claude misreports speed as 40 mph while other models correctly report 4 mph.

Write persuasive copy for selling and informational newsletters using short sentences, FOMO, and the AIDA framework to promote a 12-week generative AI boot camp with mentorship and six projects.

Explore Grok AI, a real-time multitasking chatbot that summarizes websites, translates languages, crafts content, and writes code, with integrated editors on the X platform.

Explore Grok AI's limitations, including its humorous yet cautionary responses to topics like Sam Bankman-Fried's fraud trial, its paywall, live data from X, and comparisons with ChatGPT four.

Explore Google's Gemini Bard, a multimodal generative AI chatbot, accessible via Chrome with a Google account; learn free version capabilities and extensions linking to Docs, Sheets, YouTube, Maps, and more.

Explore extensions with Googlebot to access Gmail and other Google Suite tools, and learn to find, summarize, and build a timeline of emails using complex queries.

Explore Google Drive to locate cover letter documents, view file names and last modified dates, and use prompt engineering to find the latest resume in Udemy courses folders.

Discover how YouTube extensions enable you to analyze ads and videos, identify target audiences and insights, and generate actionable prompts for content optimization.

Discover how to use Bard with PDFs: provide a URL to the online document or upload the PDF to Google Drive and reference it for takeaways.

Combine multiple extensions in Google Gemini to access Google Drive and Docs, analyze content, and draft a newsletter for a 10th-grade reader, noting manual steps for creation.

explore image to text versus ChatGPT workflows, extracting tabular data from images with Bard and DALL-E, and summarize trends like time to 1 million users and signup vs active users.

Learn to reverse engineer image prompts by analyzing visuals with generative AI, navigate restrictions on human images, and craft photo realistic prompts from charts, graphs, and scenes.

Explore coding with Google Colab and Bard to import a CSV file, inspect columns, and generate visualizations and dataframes using ai-assisted code.

Demonstrates an ai-powered search engine that uses location settings and follow-up questions to tailor weather, local eats, and hikes, comparing multi-source results from perplexity and other sites.

Explore perplexity ai's ui features, from focus search and attachments to collections and playground, and compare models like GPT-4, llama 3, and claw 3, with pro and enterprise options.

Explore how perplexity ai handles prompts, compares pro and flow modes, and links credible resources from McKinsey and Bain to support answers and reduce hallucinations.

Discover the focus feature in Perplexity AI to constrain data sources for targeted research. Learn how to search Reddit, YouTube, and academic content to generate concise, source-based summaries.

Explore how attachments enable summarizing a 100-page document using models with large context windows, like cloud three, to deliver concise insights.

Explore perplexity's access to AI models beyond ChatGPT and GPT-4, including pro search, 32K sonar, mistral, opus, and Claude for different tasks.

Explore perplexity playground and UI to compare models and decide the best fit for your task, from writing with opus three to complex reasoning with GPT-4 or opus.

Explore how to set up custom instructions in GPT by building a detailed user profile with location, language, and interests, enabling tailored, precise answers for work, study, and hobbies.

Learn to customize GPT through your profile by specifying location, language, and personal info. Tailor prompts by detailing your day job, side projects, and preferred answer style for precise responses.

Explore how perplexity and tailored prompts support sales research by gathering company profiles, founders, hobbies, and recent news to prepare for meetings and craft meaningful conversations.

Explore academic research workflows with perplexity, focusing on finding relevant papers, prompts, and summaries; upload PDFs, compare papers like Bitcoin and Ethereum, and extract main arguments and citations.

Learn to perform business analysis with generative AI by researching company profiles, SWOT analyses, competitors, funding, and share price, using prompts or collections, and validate results across sources.

Explore how perplexity aids financial research by scoring companies from 1 to 10 on fundamentals and financial statements, using Apple and Yahoo Finance data, and uploading statements for metrics.

Develop a YouTube content strategy for a generative engineering channel using perplexity for keyword analysis and topic research, covering latest ai breakthroughs and viral use cases for shorts and long-form.