This chapter explores the exciting field of Retrieval Augmented Generation (RAG) and its role in integrating video, audio, and text. It also showcases practical applications within the OPEA project and highlights the implementation of multimodal models to improve information extraction from images.
There is an increasing desire for and effort towards GPU alternatives for AI workloads and an ability to run GenAI models on CPUs. Ben and Greg from Intel join us in this episode to help us understand Intel’s strategy as it related to AI along with related projects, hardware, and developer communities. We dig into Intel’s Gaudi processors, open source collaborations with Hugging Face, and AI on CPU/Xeon processors.
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