Scaling Intelligence
The leap from GPT-2 to GPT-3 showcases the power of scale in AI development, revealing that simply increasing model size and data can unlock new capabilities without the need for complex engineering. This unsupervised approach not only enhances performance but also paves the way for more general AI by crossing domains like speech and vision. The implications for future models and commercial viability remain uncertain, yet the potential for groundbreaking applications is undeniable.In this clip
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Eye on AI
Large Language Models & GPT-J
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