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  • Today, winning strategies available to marketing execs are a dime a dozen. But you shouldn’t be using an algorithm which isn’t tuned specifically to your campaign or your product. Sometimes the “Easy Button” isn’t the button you need to push. We’ll help you push the right buttons.

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  • Our products are as beautiful as they are robust, and just as useful. We specialize in highly efficient mobile and desktop web development employing state-of-the-art encryption protocols for fully customizable, secure financial transactions. With over 25 Years marketing products in Central Arkansas, we’ve got your back.

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IN VINO VERITAS

BAR NONE is a weekly publication for anyone looking for good ideas, better recipes, and great writing. We invite your tasteful comments. As always, all contents are free. If you wish to help us continue providing fresh, relevant content, please consider contributing.

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CONTRIBUTE
convention
Sam Heard Sam Heard

convention

This story doesn’t end with a hero riding off across a horizon into the setting sun. Not that type of convention. Keep reading. You’ll see.

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coleridge’s mariner
Sam Heard Sam Heard

coleridge’s mariner

I spent a lot of my time in school writing about strange and wonderful connections between authors who lived just far enough apart in time that they could not have possibly known one another. Nonetheless, they seem to have shared specific ideas, if not solely through their work.

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POKE SALAD
Sam Heard Sam Heard

POKE SALAD

I’ve written poems about my grandfather since I took up writing. This one is the closest to the truth I may have come when I wasn’t dreaming.

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ARTIFICIAL INTEL
Sam Heard Sam Heard

ARTIFICIAL INTEL

Researchers are starting to unravel one of the biggest mysteries behind the AI language models that power text and image generation tools like DALL-E and ChatGPT.

For a while now, machine learning experts and scientists have noticed something strange about large language models (LLMs) like OpenAI’s GPT-3 and Google’s LaMDA: they are inexplicably good at carrying out tasks that they haven’t been specifically trained to perform. It’s a perplexing question, and just one example of how it can be difficult, if not impossible in most cases, to explain how an AI model arrives at its outputs in fine-grained detail.

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