Test-Time Compute is a technique in AI that focuses on optimising model performance during the testing phase by using advanced computational strategies. Videos on this topic typically dive into practical methods such as NVIDIA's Looped Transformer and how to train large language models (LLMs) to 'think'. This is aimed at AI practitioners looking to refine their models and improve efficiency at test time.
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Your idea can be anything. At our last workshops, people built plant-based nutrition businesses, a way to measure planetary resilience, crochet headwear and a way to connect lonely people living in the same building. This fourth workshop is a full day at KOKO with Nick Sarafa, learning to build with Claude Code. Bring the thing you keep meaning to start. We’ll bring the pizza.
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