They are built on years of open source machine learning

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You feed it thousands, millions, trillions of pieces of content, then you train a certain algorithm to produce results and solutions. Now let’s dive into Generative AI 101. Let’s use cars as an example. Just as a Porsche has a different engine than a Mazda, under the umbrella term Generative AI there are many different Generative AI models.


These AI models, or car engines, are written and produced by teams of highly skilled computer vision experts, machine learning experts, and mathematicians. research and are often funded by companies and universities.


Some of the big companies writing Generative korea whatsapp number data AI models, or engines, are Open AI, NVIDIA, Google, Meta, and universities like UC Berkeley and LMU Munich. They can keep these models private or make them public, known as open source, so that everyone can benefit from their research.


Depending on your level of technical expertise, the use of these models may vary. We can envision three different types of end users of these models: Business leaders: Come up with a product idea that involves one or more Generative AI models.


They can use free open source Generative AI models or partner with a consortium to get access to their Generative AI model, then their team will create their vision. Creators: Have technical knowledge but are not AI engineers.