Model quantization is a technique used to make AI models smaller and faster, particularly when running on hardware with limited compute resources. This is useful for developers and engineers who want to deploy AI on local devices, like GPUs with limited VRAM. Videos such as NVIDIA’s 4-Bit Format Makes Local AI 2X Faster On Your GPU and Bonsai 2: Qwen 27B on 6GB VRAM showcase how quantization can significantly enhance performance and efficiency.
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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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One a week, never sold on, and one click to stop.
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