Great training video without all the fluff. Thanks for sharing...
@PowerUpTraining11 ай бұрын
@TopAd101Marketing, like a great PowerPoint presentation, it is a constant KZbin battle to balance core material that delivers without fluff but also without being too dry. Thanks for the feedback!
@MrPalmcove Жыл бұрын
Hi Les, Congratulations what a great tutorial? I am interested in the reverse process regarding Chat GTP. That is converting bullet points into short paragraphs or notes into a more detailed report. Any advice or leads?
@PowerUpTraining Жыл бұрын
@MrPalmcove, GPT can sure do that. I took one of my presentations and gave it this prompt: "Pretend I am a corporate trainer and writing an instruction manual on how to edit a PowerPoint presentation for success. Wait for my content." Note that I explain 1) my role [a corporate trainer]], 2) what type of document I am creating, [an instruction manual] 3) the topic [title of the presentation]] and 4) told it to wait for my text. And in the next prompt, I dropped in the bullet points from my first slide. Note that the more detailed your bullet points, the better the results. If too vague, Chat GPT will start to make things up and that content may no longer be relevant or worse, NOT ACCURATE. Lastly, if it is a long presentation, consider breaking it up into multiple prompts, such as "use these bullet points for my introduction" and then follow up with "using the same style, use the following as my conclusion. Wait for my prompt" And put in all the details in between with separate prompts. AND ALWAYS PROOFREAD and edit to match your style. Consider looking at this tutorial on writing text with GPT: kzbin.info/www/bejne/hn3VZ4KEfZ6gptE
@PowerUpTraining Жыл бұрын
@MrPalmcove, I have a new tutorial out on how to move from PowerPoint bullet outline to a presentation speaking script. "GPT Ghostwrites my Presentation Scripts" kzbin.info/www/bejne/gIaVYYifaNqEhLs At the 21:35 minute mark, I cover how to "Summarize Presentations for Email" which is close but it does require you moving your outline to GPT (with some translation work before going to GPT) and then you can do short and long narrative summarizations.