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Merantix AI Campus

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🎥 Video alert - How can multimodality and efficient data integration transform your AI projects for richer interactions and optimised workloads? Last week, we hosted an event with SingleStore on how to build a real-time Multimodal RAG application in minutes. Here’s a brief recap of what the speakers discussed: 🎙 Sushrut Chafadker, Co-founder & CTO at topshelf He explained topshelf's strategy of using a social network for users to share and review products, combined with AI-driven recommendations to provide personalised suggestions based on user interactions. He addressed challenges in AI, such as outdated information, understanding user preferences, and hallucinations, and highlighted the role of Retrieval-Augmented Generation (RAG) in providing real-time context. Additionally, he discussed technical aspects like context optimisation, behaviour or optimisation, and the infrastructure for deploying and scaling AI models, including cloud and self-managed variants. 🎙 Michael Englert, Principal Solution Engineer at SingleStore He discussed the practical aspects of deploying AI models, emphasising the benefits of optimising context size to save costs and improve speed. He explained the separation of compute and storage in their setup, highlighting the flexibility in choosing compute size and regions in AWS, Azure, or GCP, and mentioned the inclusion of auto-scaling. Michael also talked about using notebooks to interact with databases via Python and SQL and stressed the importance of flexible access to AI models to adapt to rapid innovations. He concluded by discussing AI trends, including the importance of specialised on-device models for certain tasks. 🎥 Interested? Here you can watch the video: https://lnkd.in/d5F8dvg4 Thanks to the entire team for bringing such cool event: Kevin Jones Sam Wallis Philipp Schoeck Jonah Oswald Fee Hermann 何菲 #AI #DataIntegration #MultimodalAI #RAG #RetrievalAugmentedGeneration #machinelearning #LLM #ScalableAI #CloudComputing #AITrends #AIInfrastructure #AIModels #DataScience #ArtificialIntelligence #AIOptimisation #TechEvents

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