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Neural networks are trained on massive datasets. We spent 6 months making gpt‑4 safer and more aligned. Gpt is a generative ai technology that has been previously trained to transform its inputs into different types of output.
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Looking at the acronym above helps us remember what gpt does and how it works. Following the research path from gpt, gpt‑2, and gpt‑3, our deep learning approach leverages more data and more computation to create increasingly sophisticated and capable language models. Chatgpt and gpt‑3.5 were trained on.
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We performed several iterations of this process.
Since then, they have released several advances in the gpt line of ai models. You can learn more about the 3.5 series here . Watch this video to learn more about what's involved in. The new flagship engine behind openai's generative ai tool comes with a ton of changes.
