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Generative AI and Prompt Engineering for Marketers 

DigitalSreeni
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This video tutorial is all about perfecting your prompts for generative AI (e.g., chatGPT) by asking the right questions to get the best output on your marketing related activities. This includes Creating a Marketing Plan, Defining a Campaign for a New Product​, Composing Social Media Posts for Your New Product​, SEO Keywords Analysis​, and even generating python code to perform user analysis.
All documents from this video, including the presentation slides, are available here: github.com/bnsreenu/python_fo...
If you are too lazy to watch the video, he is the essence:
Please make sure you incorporate these 5 elements in your prompts: Persona, Context, Action, Tone and the Output Format.
Example of a good prompt below. Noice how it has all the 5 elements for a good prompt:
You are a content expert at a startup, Webgenix, with a software product that generates web page designs using AI and no coding necessary. ​
You are tasked to write a product caption no longer than 5 words. ​
Write 10 product captions for Webgenix and provide a short explanation recommending each caption.​
Please keep the tone professional. ​
Please format the output in a table that can be copied to Excel.
The video primarily uses chatGPT and Microsoft Copilot.

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21 июл 2024

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Комментарии : 14   
@maxgadd
@maxgadd 7 месяцев назад
You are excellent Sreeni
@kannanv9304
@kannanv9304 7 месяцев назад
Hello Ajarn.......The first 50 secs, summed-up the scenario on chatgpt and prompt engineering.......With you, we never look at quick-fixes and only long term learning......Heard a lot about prompt engineering and this is the first online video, which I am watching.....And I am so glad, it has come from you and I will watch it till the end......
@DigitalSreeni
@DigitalSreeni 7 месяцев назад
I missed hearing from you Mr. Kannan. I hope you are doing well. As you very well know, I rarely do videos on topics that are not directly related to data analysis, especially image analysis. But my day job is marketing and I benefit quite a bit from chat engines. Just trying to spread my knowledge and experience on the topic. I do worry if my audience can relate to such videos but the number of views and engagement gives me good feedback.
@VenkatesanVenkat-fd4hg
@VenkatesanVenkat-fd4hg 7 месяцев назад
Always doing great job....Thanks srini
@DigitalSreeni
@DigitalSreeni 7 месяцев назад
My pleasure 😊
@AbrarMr1
@AbrarMr1 7 месяцев назад
Hello, can you please post a video on binary segmentation using unet 3+
@sowmya6451
@sowmya6451 6 месяцев назад
Hello sir! I am working on fish freshness image classification. I have tried using segmented images as input and passing them to a transfer learning based model. The dataset size is also large but still not getting good accuracy, I need you guidance sir.
@Brickkzz
@Brickkzz 7 месяцев назад
Oh man, i hope this is a one off stint. Really enjoyed your science-oriented videos. Have you covered volumetric measurements and analysis of z-stack of confocal/EM images?
@DigitalSreeni
@DigitalSreeni 7 месяцев назад
I do these type of one-off videos during the Holiday time on topics of my personal interest and experience. They are still related as you will find data analysis and also a bit of coding. I have done segmentation of 3D objects in z-stack in the past: e.g., ru-vid.com/video/%D0%B2%D0%B8%D0%B4%D0%B5%D0%BE--9w0oIpMgVw.html I can explore the topic of 3D measurements if viewers are interested. Based on RU-vid video stats, my 3D videos are not doing as well as other 2D topics so I interpreted that as not many people being interested in 3D topics.
@reactjokjok333
@reactjokjok333 7 месяцев назад
I apologize for the inconvenience, but I am having trouble separating my crop fields. I am currently using SAM, but the fields are too similar in color. It is not working. Can you recommend a tool?
@DigitalSreeni
@DigitalSreeni 7 месяцев назад
Why SAM? You challenge sounds like a semantic segmentation problem. Even if it isn't, SAM would not work right out of the box unless you train it further to customize for your work. I recommend using either U-net for Semantic or Mask R-CNN for instance. You can easily access Mask R-CNN via the Detectron2 library. Checkout my videos on Detectron2 topic where I provide a walkthrough from labeling to training to segmentation to measurements.
@reactjokjok333
@reactjokjok333 7 месяцев назад
@@DigitalSreeni Thank you for your advice,Professor. I am a beginner. I am using segment-geospatial because I need to segment images with geographic information for use in QGIS. I will explore the Detectron2 library with your video tutorial. Your expertise is essential for my challenge of segmenting agricultural areas.
@Iiochilios1756
@Iiochilios1756 7 месяцев назад
Dear stranger, please don't offer Sreeni 300k for prompt engineering. We do not need another one "elite cognac review with victoria secrets models" channel.
@DigitalSreeni
@DigitalSreeni 7 месяцев назад
I appreciate the friendly advice! Rest assured, no one is going to pay me 300K to be a prompt engineer :) No fashion shows, just code shows on my channel. Thanks for looking out!
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