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pro vyhledávání: '"Kaur Simran"'
As large language models (LLMs) become increasingly advanced, their ability to exhibit compositional generalization -- the capacity to combine learned skills in novel ways not encountered during training -- has garnered significant attention. This ty
Externí odkaz:
http://arxiv.org/abs/2409.19808
We introduce Instruct-SkillMix, an automated approach for creating diverse, high quality SFT data. The Instruct-SkillMix pipeline involves two stages, each leveraging an existing powerful LLM: (1) Skill extraction: uses the LLM to extract core "skill
Externí odkaz:
http://arxiv.org/abs/2408.14774
Publikováno v:
Saudi Journal of Kidney Diseases and Transplantation, Vol 32, Iss 4, Pp 1163-1165 (2021)
Liddle’s syndrome is a rare cause of secondary hypertension (HTN). Basic characteristics of this disease are HTN, reduced concentration of aldosterone and renin activity, as well as increased excretion of potassium, leading to hypokalemia and metab
Externí odkaz:
https://doaj.org/article/d4f9123f97e940319694f748caa77b9d
With LLMs shifting their role from statistical modeling of language to serving as general-purpose AI agents, how should LLM evaluations change? Arguably, a key ability of an AI agent is to flexibly combine, as needed, the basic skills it has learned.
Externí odkaz:
http://arxiv.org/abs/2310.17567
Autor:
Lather, Anu Singh, author, Kaur, Simran, author
Publikováno v:
VUCA and Other Analytics in Business Resilience, Part B
A number of competing hypotheses have been proposed to explain why small-batch Stochastic Gradient Descent (SGD)leads to improved generalization over the full-batch regime, with recent work crediting the implicit regularization of various quantities
Externí odkaz:
http://arxiv.org/abs/2211.15853
Network-on-Chips (NoCs) have been widely employed in the design of multiprocessor system-on-chips (MPSoCs) as a scalable communication solution. NoCs enable communications between on-chip Intellectual Property (IP) cores and allow those cores to achi
Externí odkaz:
http://arxiv.org/abs/2211.02378
The mechanisms by which certain training interventions, such as increasing learning rates and applying batch normalization, improve the generalization of deep networks remains a mystery. Prior works have speculated that "flatter" solutions generalize
Externí odkaz:
http://arxiv.org/abs/2206.10654
Publikováno v:
In Asian Journal of Psychiatry December 2024 102