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Attention Mechanism

Attention Mechanism is a crucial technique in AI that helps models like Transformers and RNNs focus on relevant parts of the input data, improving how they understand context and relationships in information. Videos on this topic like '1M Context In 500MB | DeepSeek V4.1 + TurboQuant' reveal how advancements like DeepSeek optimize memory usage and model performance. This topic is vital for AI enthusiasts and professionals keen on enhancing AI models and understanding their workings.

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AI Maker Residence at KOKO

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.

◆ Fri 09 Oct 2026 ◆ KOKO Cafe, London ◆ With Nick Sarafa
AI Maker Residence at KOKO
Live event
AI Maker Residence at KOKO
Fri 09 Oct 2026
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