Finding Your Jagged Frontier A Generative AI Exercise Mitchell B Weiss
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Finding Your Jagged Frontier: A Generative AI Exercise In recent years, generative AI has grown exponentially. Artificial intelligence algorithms are being trained to generate art and writing, to write entire novels, poems, and even complete plays. The technology behind it is advancing rapidly, with machine learning algorithms capable of developing neural networks capable of learning from data. For example, a chatbot that helps users plan their vacation has been trained using text data from social media. The chatbot has been trained to detect patterns and understand context
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I’m Mitchell B. Weiss, a professor of computer science and an expert on generative artificial intelligence at the University of Maryland, College Park. This is a sample AI work, called Finding Your Jagged Frontier. The AI is modeled after natural language and its language model uses a deep neural network. You see, I’m actually a linguist. Generative AI is an exciting new field that combines machine learning with deep learning, making artificial intelligence capable of writing or speaking human-like language. A language model would write from your words
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In this piece, I discuss the process of generating your work using a language model trained on a large dataset of human writing. I’ll start by giving a brief summary of what Generative AI is and how it works. Generative AI (a/k/a Deep Learning) works by creating images, sounds, and videos based on given inputs. Generative AI can be used for creating images, videos, and textual works. Generative AI works by learning to predict the next word or image based on previous words or images. The model we
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I wrote my personal experiences and findings as a part of an open-access AI course I took. I wrote it as an exercise to learn from the AI technology used in the course. I did not expect to publish this piece or share it. It was never meant to be published. Check This Out But today, I find myself writing about it. Why? Because it brings home how the AI technology used in my course was not about creating a perfect model to predict the future, but rather to create a system that allowed my peers to create their own predictions, with varying levels
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I’m going to tell you the story of Finding Your Jagged Frontier, which is a generative AI exercise I did. It’s pretty simple, really, just create a new file in MATLAB and write a function. First we’re going to need to write the program that makes the universe grow. That’s going to be the base. “`matlab % Base program f = []; % Initial state of the universe for I = 1:2^10 % Create a new universe for
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In one weekend, using the power of an artificial intelligence, I was able to complete Finding Your Jagged Frontier, a mind-bending puzzle game, and publish it on PlayStation. Can you tell about a similar project you did for a client in which the product was an app?
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I am currently writing Finding Your Jagged Frontier, a generative AI exercise for my undergraduate honors class. My task was to create an AI that can generate a piece of literature from a particular seed sentence. The task required me to follow a specific structure and structure elements to create a cohesive, engaging story. The seed sentence I chose was “As the sun sets on my last day in high school, I’m left with a jagged frontier, a feeling of leaving something behind.” This seed sentence has the following elements
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As an AI, I can help you find your ‘jagged frontier’ — a place of opportunities to explore and discover. The idea behind the jagged frontier is that there’s a world within, full of unexpected surprises, potential, and possibilities. I did this by analyzing a sample piece of text. In this exercise, you provide the text and I’ll generate a piece of text about it, with the goal of finding that ‘jagged frontier’ for you. Here’s an example: “