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Found 6 papers, 1 papers with code
A Holistic Assessment of the Carbon Footprint of Noor, a Very Large Arabic Language Model
Notably, we find that inference costs and exogenous factors can have a significant impact on total budget.
The Falcon Series of Open Language Models
We report detailed evaluations, as well as a deep dive into the methods and custom tooling employed to pretrain Falcon.
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Emergent Communication in Multi-Agent Reinforcement Learning for Future Wireless Networks
In different wireless network scenarios, multiple network entities need to cooperate in order to achieve a common task with minimum delay and energy consumption.
Joint Semantic-Native Communication and Inference via Minimal Simplicial Structures
Specifically, the teacher first maps its data into a k-order simplicial complex and learns its high-order correlations.
The RefinedWeb Dataset for Falcon LLM: Outperforming Curated Corpora with Web Data, and Web Data Only
Large language models are commonly trained on a mixture of filtered web data and curated high-quality corpora, such as social media conversations, books, or technical papers.
A Comprehensive Review and a Taxonomy of Edge Machine Learning: Requirements, Paradigms, and Techniques
Nevertheless, edge-powered ML solutions are more complex to realize due to the joint constraints from both edge computing and AI domains, and the corresponding solutions are expected to be efficient and adapted in technologies such as data processing, model compression, distributed inference, and advanced learning paradigms for Edge ML requirements.
