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By now, you’ve encountered terms like Artificial Intelligence (A.I.), Machine Learning, Deep Learning, and Natural Language Processing (NLP). If you’re reading this, you’re hungry to disambiguate these concepts and cut to the chase.

For builders of interactive AI like ChatGPT, this new method makes Large Language Models economical

A seismic shift is well underway in the world of large language models.

Building quality A.I. requires loads of experimentation with massive volumes of data – the more, the better. And traditional A.I. economics force organizations to pay for that process, before knowing the outcome. What if we could change that, and align the cost of A.I. with real ROI?