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Meta Prompting for Success

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Meta Prompt  Regardless of the Generative AI model used, sometimes the model may refuse to provide a response for a valid prompt. Often the reasons cited are - "I don't know", "I am not trained for the task", "violation of safety/responsible/ethical guardrails". This is sometimes more acutely felt when using Generative AI models for creating images. Overcoming this behavior can be frustrating and time consuming. An approach is to ask the AI model itself to generate prompts so that the prose and nuances of prompting are aligned with how the AI model has been built. This is called meta-prompting . The theory is that the prompts created by the AI model would have better chance of working. Let's dive in to see if and how this meta-prompting works in Gemini .  How to Create a Meta Prompt As with all good prompts, start with a persona/situation that describes the overall context. Next, describe the task in detail. In this case, it is about creating some

The Many Faces of Val Kilmer

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Tribute to The Saint This is a tribute long overdue. To the movie and one of my favorite actors - Val Kilmer. He’s had many successful movies, but perhaps a favorite of mine is “ The Saint ” from 1997. And, the luminescent Elizabeth Shue provides an apt foil for Val Kilmer. In keeping with the namesake in the movie, the original soundtrack for the movie by Graeme Revell is medieval and atmospheric. In a recent interview, the “Past Lives” actress Greta Lee describes Val Kilmer in this movie being one of her early inspirations. While the movie “The Saint” is not seen as a critical or commercial success, if it inspired a brilliant actress, who can complain. In the movie, Val disguises himself after Catholic saints. As a "Saint Head", something I always wanted to understand a bit more, a background of all the Catholic saints that crop up in the movie.  Simon Magus Val Kilmer as the character “Simon, The Magician” Simon Magus is a controversial figure in Christian history. He is

Now you can see me

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Overview  As customers, we shop with various brands (i.e. labels, retailers and ecommerce marketplaces). Once, we grow comfortable with certain bands, we tend to interact more frequently with them. In today's channel-less world, this interaction takes various forms - visiting stores, following the social media updates for inspiration, searching/browsing online in the apps and last but not the least talking to customer service. However, despite all the "breadcrumbs" we leave behind with the brand, the experience often leaves us wanting more. On the other hand, brands are increasingly wanting to know and understand about their customers. Various attempts are made at "personalizing" the experience. This is mainly along three pillars below - Elevating service in physical touchpoints such as stores Loyalty programs to incentivize repeat purchases Seeking out patterns in data from products, services, channels and customers Out of the the above 3, #1 and #2 can be expe