Word embeddings are a set of techniques that convert words into numerical vectors, making it easier for machines to understand human language. These methods are crucial for various applications, such as text classification, semantic search, and zero-shot learning. You'll learn how to implement word embeddings using tools like Python and libraries for vector databases in practical scenarios, as covered in videos about text embeddings and their real-world applications.
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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. An asset manager went on to raise an additional £25M on their fund within nine months. The 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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