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www.graphcore.ai | ||
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www.khronos.org
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| | | | | NNEF reduces machine learning deployment fragmentation by enabling a rich mix of neural network training tools and inference engines to be used by applications across a diverse range of devices and platforms | |
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lambdalabs.com
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| | | | | What's the best GPU for Deep Learning? The 2080 Ti. We benchmark the 2080 Ti vs the Titan V, V100, and 1080 Ti. | |
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ssc.io
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| | | | | Data integration and cleaning have long been a key focus of the data management community. Recent research indicates the potential of large language models (LLMs) for such tasks. However, scaling and automating data wrangling with LLMs for real-world use cases poses additional challenges. Manual prompt engineering for example, is expensive and hard to operationalise, while full fine-tuning of LLMs incurs high compute and storage costs. Following up on previous work, we evaluate parameter-efficient fine-tuning (PEFT) methods for efficiently automating data wrangling with LLMs. We conduct a study of four popular PEFT methods on differently sized LLMs for ten benchmark tasks, where we find that PEFT methods achieve performance on-par with full fine-tuning, and ... | |
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securitybrief.asia
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| | | Cado Security has launched its Incident Readiness Dashboard, enabling businesses to assess and respond to cloud threats. | ||
