Here is a condensed summary of the main points from the video transcript:
GPTs are customized versions of ChatGPT that have been modified to be better at a specific task or more helpful to a certain user. They use 3 key "ingredients": prompting, knowledge, and actions.
The GPT store presents a big opportunity like the 2008 App Store, allowing regular people to make money building AI apps. However, revenue sharing details are still unclear.
The better opportunity is selling GPTs/AI agents to businesses needing automation. This requires "jailbreaking" GPTs out of ChatGPT into apps. The narrator's platform Agentive helps with deployment.
To succeed, GPT creators need skills in:
The narrator walks through creating a "Charlie Munger Investing Assistant" GPT from scratch using prompting, stock data knowledge base, and real-time stock price fetching tool.
He then demonstrates "jailbreaking" the GPT out of ChatGPT into a website chat widget using Voiceflow and Agentive for easy deployment.
Here is a condensed summary of the main points from the text in HTML format:
The narrator introduces Google Gemini, explaining it is important to learn to avoid falling behind. Gemini works with Gmail, Docs, Sheets, Slides, and Meet to provide AI assistance.
Key features shown in the personal advanced paid account include adjusting dark/light mode, toggling extensions like Google Workspace and YouTube, using @ symbols to connect to Gmail and Drive, summarizing files, and exporting summaries. Free accounts get extensions but not apps access.
Examples given include: finding emails, summarizing Google Docs, Drive files and YouTube videos into quizzes. Tips like asking for help creating prompts and sharing public links are provided. Visual effects in Meet and image generation are also shown.
The video focuses most on the value of learning to create effective prompts in Gemini to tap into the AI and properly guide it. The narrator says that starting simple and getting more detailed over time is best. Extensions provide wide access to Google services.
Here is a condensed 500-word summary of the main points from the text in HTML format:
The narrator spent a week comparing GPT-4 and Google Gemini Ultra across 10 categories to determine which AI chatbot performs better. GPT-4 has dominated since its release, but Gemini Ultra claims to outperform it. The narrator tests text summarization, writing, multimodality, image generation, research, creativity, coding, reasoning, extensions/capabilities, and content creation.
GPT-4 has usage limits unless you upgrade to more expensive plans. Gemini Ultra currently has no usage limits. GPT-4 offers more privacy controls than Gemini Ultra. Both have a 32,000 token context window.
For text summarization, both score 5/5 stars with excellent performance. For writing copy, both score 4/5 stars but need improvement. Gemini Ultra writes more naturally. For multimodality like image analysis, GPT-4 scores 4/5 stars while Gemini Ultra scores just 2/5 stars. For image generation, GPT-4 scores 3/5 stars versus just 1/5 stars for Gemini Ultra.
For research, Gemini Ultra scores 3/5 stars by integrating Google and YouTube search, while GPT-4 scores just 2/5 for lack of good links. For creativity, GPT-4 scores 4/5 versus 2/5 for Gemini Ultra. For coding, GPT-4 scores 5/5 by actually generating functional code, while Gemini Ultra scores just 2/5. For reasoning, both score 3/5.
For extensions, both score 3/5. Gemini Ultra integrates Google Workspace docs while GPT-4 offers customizable GPT models. For content creation, both again score 3/5 but need improvement. Overall, GPT-4 still leads across most categories, but Gemini Ultra shows promise.
The narrator outlines a step-by-step process for using OpenAI's GPT feature to create AI-generated articles that can pass plagiarism checks and be published on sites like Google and Medium.
Key steps include:
The narrator emphasizes properly training the AI on your own content and style, providing clear and specific prompts, and carefully editing the computer-generated articles. Doing so allows leveraging AI to automate writing while still producing high-quality, original content.
The narrator explains how to use Google Gemini AI to generate content for an ebook. First, he enters a prompt asking for ebook ideas about crocheting for beginners. Google Gemini AI provides 5 ideas, and the narrator selects the first one: "The Absolute Beginner's Guide to Crochet: Learn the Basics in a Weekend."
Next, he asks Google Gemini AI to provide an outline for the ebook. It provides a detailed outline with introductions, chapters, and subtopics. He then goes section by section, asking the AI to generate content for each part, starting with the introduction. He copies the generated text into a Google Doc to compile the full ebook content.
Once the ebook is written, the narrator explains how you can sell it on Main Stack, a platform for selling digital products. He emphasizes focusing on creating valuable content first, before worrying about design.