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pro vyhledávání: '"large language models pre-training"'
A Review of the Challenges with Massive Web-mined Corpora Used in Large Language Models Pre-Training
Autor:
Perełkiewicz, Michał, Poświata, Rafał
This article presents a comprehensive review of the challenges associated with using massive web-mined corpora for the pre-training of large language models (LLMs). This review identifies key challenges in this domain, including challenges such as no
Externí odkaz:
http://arxiv.org/abs/2407.07630
The recent rapid progress in pre-training Large Language Models has relied on using self-supervised language modeling objectives like next token prediction or span corruption. On the other hand, Machine Translation Systems are mostly trained using cr
Externí odkaz:
http://arxiv.org/abs/2305.11778
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Publikováno v:
Guangtongxin yanjiu, Pp 24004901-24004910 (2024)
【Objective】Compared to Electronic Packet Switching (EPS), Optical Circuit Switching (OCS) demonstrates advantages in latency, power consumption, cost, and stability. This study aims to explore feasible applications of OCS in the networking of tra
Externí odkaz:
https://doaj.org/article/d414340228524bdbb24e122a09a287cb
This book constitutes the refereed proceedings of the 20th International Conference on Knowledge Management and Acquisition for Intelligent Systems, PKAW 2024, held in Kyoto, Japan, during November 18–19, 2024. The 15 full papers and 9 short papers
Autor:
Sinan Ozdemir
The Practical, Step-by-Step Guide to Using LLMs at Scale in Projects and Products Large Language Models (LLMs) like Llama 3, Claude 3, and the GPT family are demonstrating breathtaking capabilities, but their size and complexity have deterred many pr