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Multimodal search integrates audio, text, images, documents, and videos to enhance the way users find and process information. This approach, as shown in videos like 'Multimodal RAG: A Beginner-friendly Guide' and 'Qwen3 Multimodal Embeddings: Finally, RAG That Sees', is tailored for those looking to improve AI systems by utilizing varied data formats. The tutorials often feature practical coding examples, mainly in Python, making the learning process accessible for newcomers and practitioners alike.
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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.
Apply once › get screened › meet the company
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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