Red Hat promises AI trained on 'curated' and 'domain-specific' data
It's also not just built on good code. Wright told us:"We make sure the models are accurate because we build metrics into the whole end-to-end process." This includes business metrics to make sure your projects aren't just technically successful but deliver successful results for your business as well.
Another major plus that IBM and Red Hat are bringing to the table is that unlike the AI projects getting all the headlines, Wright said:"We can tell you exactly where the data our domain-specific LLMs comes from." This is a dramatic difference from the response that ChatGPT gives you when you ask it where it gets its answers from. to make sure open source code really is what it says it is.
is sourced from a copyrighted open source project? Can you be sued for using it? Stay tuned. The courts are working on that exact question.Red Hat says it knows that, so it and IBM have been focusing on making sure the data their LLMs are using is good and legal. "Enterprises require this kind of accuracy," says Wright. Besides,"where a model is trained on a set of data, and the world around us is highly dynamic, a model can drift in terms of its accuracy. We must constantly work to maintain the continued accuracy of models. that form the picture is really critical for enterprises to be successful in bringing AI and making kind of meaningful business impact.
Put it all together, and Red Hat, which was first known as a Linux power, and then gained fame as a hybrid-cloud power, may – just may – become known as it enters its third decade as the AI company that got it right. We'll see. There's a long road ahead. ®
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