Zobrazeno 1 - 2
of 2
pro vyhledávání: '"Grob, Fabian"'
Several recent studies have investigated low-precision accumulation, reporting improvements in throughput, power, and area across various platforms. However, the accompanying proposals have only considered the quantization-aware training (QAT) paradi
Externí odkaz:
http://arxiv.org/abs/2409.17092
Autor:
Veldanda, Akshaj Kumar, Grob, Fabian, Thakur, Shailja, Pearce, Hammond, Tan, Benjamin, Karri, Ramesh, Garg, Siddharth
Large Language Models (LLMs) such as GPT-3.5, Bard, and Claude exhibit applicability across numerous tasks. One domain of interest is their use in algorithmic hiring, specifically in matching resumes with job categories. Yet, this introduces issues o
Externí odkaz:
http://arxiv.org/abs/2310.05135