Large Language Models ↔ Language Model

Relations (1)

related 2.00 — strongly supporting 3 facts

Large Language Models are a specific, advanced class of Language Models, as evidenced by their shared role in language-based agent architectures [1], their common challenges regarding interpretability [2], and their joint application in safety-focused supervised learning datasets [3].

Facts (3)

Sources

Building Trustworthy NeuroSymbolic AI Systems - arXiv arxiv.org arXiv 2 facts

claimAchieving effective and human-understandable explanations from Large Language Models (LLMs) and their precursor language models (LMs) remains a complex challenge.

claimThe datasets DiSafety (Meade et al. 2023) and SafeTexT (Levy et al. 2022) are designed to induce safety in Language Models and Large Language Models through supervised learning.

The Synergy of Symbolic and Connectionist AI in LLM-Empowered ... arxiv.org arXiv 1 fact

claimLanguage-based agents (LAAs) leverage vast amounts of corpus and self-supervised pre-training on language models to infer patterns and relationships from raw text, embedding knowledge within the weights of the large language models (LLMs) rather than relying on explicit symbols and rules.