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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

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

Prime Candidate for Analysis

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Promotions in Retail Promotions are part of the 4P's (Product, Price, Promotion, Place) of retail marketing. Promotions have always been a key part of the customer experience in retail. Promotional activities largely include a mix of marketing and advertising spend.  Evolution of Promotions With the onset of digital/online retail, the nature of promotional activity have been changing.  Earlier in the world of physical retail, promotions were characterized by a sense of "theatre". It was about decking up the stores with banners, special merchandising and other ploys (such as the KMart Blue Lights ).  In the digital/online world, the "theatre" element has been replaced by one of "urgency". Flash sales, auctions, product launches etc. give customers a sense of urgency to grab the deals as they are available for a small amount of time. The One that Started it All Typically, promotions had been linked to major festivals or events such as Christmas (in most

A Hyper Local, Crowd Sourced, Data Driven Chatbot for Covid

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Overview The COVID-19 pandemic has captured everyone's attention and impacted our daily lives for the past few months. It is likely to remain that way for the foreseeable future too as we learn to navigate around it. Several organizations and volunteers globally have create various kinds of dashboards, databases etc. so that information is available to everyone. Some of them are - Covid 19 database by John Hopkins -  https://github.com/CSSEGISandData/COVID-19 Covid 19 India dashboards -  https://github.com/covid19india/covid19india-react Covid 19 India clusters -  https://github.com/someshkar/covid19india-cluster WHO app -  https://github.com/WorldHealthOrganization/app Covid 19 time series data -  https://github.com/pomber/covid19 And, many others Approach From the various open source applications already created for COVID, came my inspiration too, for a chat bot. The idea is to empower local communities with data and insight so that they are better informed as they go about their