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Thursday Seeds | Data that Samples – Part 2
Last week we talked about the data and how it relates in the mode of LLM and the proximity percentages of how words relate to each other. What if we use a different context? Data that samples. Let’s go in a musical direction. Why? Because it’s art but also science and math too. Those are subjects that AI can get its head around with a semblance of context. It could be the liaison that brings it all together. Do you know anything about the Orchid? Or Telepathic instruments? It’s a new music idea that uses an AI module to help predict where you might want to go musically. Orchid is…
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Thursday Seeds | Data that Samples
Let me preface this post with an important point: I’m not a data scientist. I do have training in systems and processes in my industrial engineering back ground. The beauty of this is that I have a different view point than many classically trained scientists. They could look at my article and scoff their heads off. To each their own. But this is almost the very point of the last article that I posted regarding data: Graphers that POV. My view point could be valued to the point that it could change the way we look at certain given types of data. It’s curious to think about how an algorithm…
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Thursday Seeds | Graphers that POV
What are graphers? They are typically numbers people but really relate to data best in graphic form. They understand the need to harness the data that many companies are already storing. Instead of using SQL and traditional databases, they use graph databases which structure the data in a design pattern. Using these design patterns, graphers use a different method to pull that data out for presentation so that business leaders can make specific relevant decisions about their business. My usual go to when I refer to the need of a knowledge graph is “graphers gonna graph”. This takes it all a step further. Because not only do they graph, that…
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Hope is a muscle
