Harnessing AI for Knowledge Evolution: Personalized AI Assistants
, Chief Executive Officer, Iris.ai
, Chief Technology Officer, Iris.ai
We'll delve into the transformative role of personalized AI assistants in the rapidly evolving landscape of knowledge acquisition, distillation, and assimilation. As we cope with the immense volume of information in our digital age, the necessity for AI-powered tools to aid in the assimilation and structuring of knowledge has never been more critical. We'll explore groundbreaking advancements in generative AI, focusing on how these technologies can be tailored to individual learning styles and informational needs. Key topics include strategies to mitigate hallucinations in large language models, the integration of knowledge graphs for enhanced accuracy, and real-world applications demonstrating the difference between personalized and non-personalized generative AI responses. None of those would be possible without an efficient hardware-software stack lowering the cost enough for wider adoption. We'll delve into the enabling stack we use to keep our systems efficient such as Flash Attention, TensorRT, and Deep Speed on top of NVIDIA hardware. You'll also gain insights into the cutting-edge methodologies that are unlocking new horizons in human discoveries.
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NVIDIA technology: Cloud / Data Center GPU,CUDA,CUDA-X,cuDNN,cuGraph,Multi-Instance GPU (MIG)