Paged Attention is a technique that enhances the capability of AI models by allowing them to manage larger inputs without overwhelming system resources. Users looking to run advanced models on hardware like a 96GB Mac or a single RTX 3090 can benefit significantly from understanding how Paged Attention works. The videos explore practical applications, revealing how this method can lead to cost savings and improved performance in various AI tasks.
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The third AI workshop taught by our legendary teacher, Nick Sarafa. In one of the last events we did an asset manager raised an additional £25M on their fund within a space of 9 months. This is a full-day hands-on training workshop for purposeful co-creation with AI using Claude Code. Imagine having access to hundreds of billions of dollars of computing power and knowing exactly how to make it work for you through the power of super intelligence. One person did.
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Let us build it for you. Design and engineering from the people who shipped platforms to billions of users. AI-native, live in weeks, and yours outright at the end.
One a week, never sold on, and one click to stop.
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