All of AI: ChatGPT, Midjourney, Stable Diffusion & App Dev

Explore how artificial intelligence covers machine learning, deep learning, and neural nets, learning from data rather than explicit programming, with examples like voice assistants, recommendations, and autonomous driving.

Discover how large language models work: trained on vast text, they use word tokens and semantic associations to generate likely answers, and how prompt engineering shapes context.

Explore how tokens power language models, how input and output counts hit token limits, and how context windows (4k, 16k, 128k) shape conversations and quick summaries.

Discover how reinforcement learning from human feedback (rlhf) helps ChatGPT and other LMs improve by rewarding good outputs and punishing poor ones, using human or AI feedback.

Explore how llms differ from Google search, delivering context-aware, specific outputs through natural language conversation. Learn to ask follow-up questions and chat with ChatGPT like a neighbor.

Keep pace with the fast-changing ai landscape by exploring updates on new models and GPT for Omni, plus free versus paid features.

Create your ChatGPT account and navigate the interface, from login options and prompts to settings, data controls, saved chats, and upgrading to GPT-4.

See how the free ChatGPT version generates text, tables, and code, with practical examples like a calorie table and simple HTML page, and how prompt engineering can improve results.

Explore the paid ChatGPT features, including multimodal capabilities with DALL-E 3, web browsing, and the code interpreter for in-chat analysis. Upload files, analyze data, and create your own GPTs.

Explore GPT-4o Omni, a multimodal, fast model that sees, speaks, and hears, with free access, memory features, and iPhone integration.

Discover the two core capabilities of large language models: summarizing text to reduce length and expanding text to increase content, with practical examples.

Explore real-time web search with ChatGPT, canvas for editing and coding, open preview, and system two thinking to boost reasoning and multilingual capabilities.

Create a ChatGPT account and use the free version to ask questions, kickstarting your learning, then apply prompt engineering in upcoming sessions.

Nvidia outlines a future of generally capable AI agents, from Voyager mastering minecraft to metamorph and Isaac SIM, culminating in a foundation agent that generalizes across skills, bodies, and realities.

Learn why prompt engineering matters for getting better answers from LLMs, and how asking step by step and assigning roles improves ChatGPT outputs.

Learn how semantic association seeds rich context for language models and ChatGPT by linking one word to related words and topics, improving prompt engineering.

Define learning as same circumstances, different behavior. Change in behavior in response to experience marks learning, like avoiding a hot stove; share the course to learn faster together with AI.

Identify a bad prompt as one that lacks context, specificity, and clear goals. Use prompt engineering to add context and set specific objectives, guiding AI toward targeted responses.

Learn to improve prompts with context to elicit precise plans from ChatGPT, including a tailored 90-day weight loss plan with calorie and protein targets and a structured prompt approach.

Master the structured prompt by combining a modifier, a topic, and additional modifiers to tailor responses for formats, audiences, and SEO-ready blog posts or Twitter threads.

Master instruction prompting by learning three tips to improve AI outputs, including think step by step and take a deep breath, to guide models like ChatGPT.

Role prompting teaches assigning a specific role to an LLM, using context and keywords to improve outputs across models, leveraging semantic associations for better, SEO-friendly results.

Explore zero shot, one shot, and few shot prompting, and learn to craft prompts for YouTube descriptions, hashtags, and links using examples and semantic association.

Combine prompting concepts using semantic association to prime ChatGPT, then apply role prompting, structured prompts, and examples to achieve high-quality, well-structured outputs.

Take on a practical homework project using ChatGPT and GPT-3.5 to apply prompting concepts like a structure prompt and shot prompting, then explore combining techniques to learn by doing.

Explore custom instructions that set the system prompt, provide context, and guide how ChatGPT responds. Enable and save these prompts, and create shortcuts to get concise, tailored responses.

Explore chain of thought prompting, using examples or letting models generate them, and learn to guide step-by-step math reasoning, including compounding growth (CAGR) in the S&P 500.

Practice self-consistency prompting by running the same prompt across multiple chats, compare outputs, and choose the most repeated answer, which is likely correct.

Generate topic-specific knowledge with a knowledge generation prompt in ChatGPT, then apply normal prompting to produce content like a blog article, leveraging semantic association and background knowledge.

Leverage tree of thought prompting to generate multiple solutions from math, emotional, and negotiation perspectives, then evaluate the best option and advocate confidently in a salary negotiation.

Explore prompting techniques including retrieval augmented generation, short and role prompting, and tree or multimodal chain of thought, then complete a practical homework using your preferred method.

Explore prompt engineering and full primings, learn practical tricks to prime ChatGPT with good prompts, and forget the old context so the token limit starts again.

Explore semantic prompting and semantic association as a fast prompt-engineering approach with ChatGPT, using words like sarcoplasmic hypertrophy and progressive overload to shape content.

Master prompting by structuring input and crafting tailored questions for ChatGPT. Describe your dietary habits, exercise routine, and fitness goals to receive actionable prompts.

Learn to adopt another's perspective using ChatGPT by assigning a point of view, such as vegan or carnivore, to explore diverse thoughts on a topic.

Master reverse prompt engineering by turning text into prompts using a four-step formula, role assignment, and chain-of-thought prompts, while optimizing tokens for LMS applications.

Explore sequence prompting with brackets and quotation marks to structure prompts for ChatGPT, create improvement tables, and execute text edits through a guided, actionable prompt sequence.

Learn how to use brackets and quotation marks with a math-like order—parentheses, braces, then square brackets—and apply ChatGPT shortcuts such as tl;dr to translate or shorten text.

Learn to use ChatGPT for self-critique of its own output to improve articles via a sequence prompt. Apply role prompts, semantic association, and edits like bullet points and risk notes.

Master a quick prompting framework you can copy to create tailored prompts, including role, task, context, objective, limitations, style, and output format, with examples in finance, Python, and marketing.

Learn to build a prompt generating machine from ChatGPT, priming it with role-based prompts for language models and later diffusion models, via a two-step copy-paste workflow.

Search arXiv for prompt engineering in LLMs, extract core insights, and feed them into ChatGPT to create informed prompts. Learn when smaller fine-tuned models outperform larger ones.

Discover sparse prime representation to compress large text for ChatGPT’s context window, enabling token-efficient in-context learning and scalable knowledge training.

Explore turning ChatGPT into a prompt generator for diffusion models like Midjourney, with prompts that include cameras and lenses. Complete the homework to create prompts for a normal language model.

Explore real world use cases for ChatGPT, including fast reading, medical advice, and translation, and preview upcoming examples.

Learn speed reading to read books 10x faster by focusing on the book's core tree—the main idea and key branches—while skipping leaves, using ChatGPT for deep dives and practical applications.

Learn how to translate across languages with ChatGPT and Deepl, compare the translation quality and style of large language models, and adjust text complexity and length for clear content.

Learn how to use chatgpt to acquire new skills, from excel basics to budgeting, charts, and formulas, plus a bitcoin blockchain overview.

Learn how ChatGPT checks spelling and grammar and proofreads text. Create tests with fill-in-the-blank, yes-no, and multiple-choice questions for classroom use.

ChatGPT can provide general medical guidance but is not a substitute for a doctor. The lecture covers back health basics, core strengthening, posture, flexibility, lifestyle changes, and mental health tips.

Compose songs, poems, and rap lyrics with ChatGPT by training it on your texts and adapting artist styles, like Michael Bublé or Eminem.

Explore the speed reading technique with ChatGPT to quickly learn from books, gain a broad overview, and grasp topics more deeply by applying it to multiple texts.

learn to use ChatGPT for writing blog posts and books, and stick to topics you understand to maintain your brand, while exploring style customization and platform policies.

Learn how to create a blog post and repurpose it for X, Instagram, and Facebook using AI, with SEO keywords to boost distribution.

Learn how to write a nutrition book with AI by setting a clear mission in custom instructions, generating ten title suggestions, outlining chapters, and guiding AI with step-by-step prompts.

Explore how ChatGPT can adapt moods and make text more technical with added depth. Learn to trigger emotions like fear, anger, and joy to vary writing styles.

Train ChatGPT to imitate your writing style using role and few-shot prompting, by feeding example blog posts and adjusting instructions for consistent outputs.

Understand how AI detectors assess AI generated content and how platforms vary in permitting it, with practical tips to train ChatGPT on your writing style to reduce detection.

Train ChatGPT on your writing style to improve alignment with your knowledge, then control and revise outputs to pass AI detectors while considering copyrights and ethics.