Recent advances in large language models (LLMs) have enabled human-like social simulations at unprecedented scale and fidelity, offering new opportunities for computational social science. A key ...
AI giving out mental health advice can be impacted by non-related fine-tuning in other narrow areas. A curious and bad ...
Morning Overview on MSN
LLMs have tons of parameters, but what is a parameter?
Large language models are routinely described in terms of their size, with figures like 7 billion or 70 billion parameters ...
Deep Learning with Yacine on MSN
What are RLVR environments for LLMs? | Policy, rollouts & rubrics explained
A clear breakdown of RLVR environments for LLMs — what they are, how policies and rollouts work, and the role of rubrics in ...
Overview: AI concepts become easier to understand when explained through real examples and clear languageA mix of fundamental ...
New firm helps enterprises deploy open-source and private LLM systems with full data control, transparency, and production-grade ...
Open-weight LLMs can unlock significant strategic advantages, delivering customization and independence in an increasingly AI ...
Abstract: In this paper, we propose an edge-assisted split federated learning framework to facilitate large language model (LLM) fine-tuning on heterogeneous mobile devices while alleviating memory ...
Abstract: The proliferation of Internet of Things (IoT)-generated distributed personal data enables user-specific large language model (LLM) adaptation at the edge. The split federated learning (SFL) ...
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