Efficient Machine Learning: Optimizing Results at Reduced Costs
Join Heiko Joerg Schick, Chief Architect at Huawei, as he explores cutting-edge strategies to reduce the computational costs of machine learning. This presentation dives into Huawei’s groundbreaking work on energy-efficient AI models, like Huawei Pangu-Weather, and introduces techniques such as Low-Rank Adaptation (LoRA) and Retrieval-Augmented Generation (RAG) to enhance performance while minimizing resources.
Discover how these advancements can revolutionize your AI projects and drive efficient, cost-effective machine learning solutions. Download now to learn how you can optimize your AI initiatives for the future!
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