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Some skeptics argue that the software is capable only of blind mimicry — that it’s imitating the syntactic patterns of human language but is incapable of generating its own ideas or making complex decisions, a fundamental limitation that will keep the L.L.M. approach from ever maturing into anything resembling human intelligence.
Source: wiktionary
Currently, large language models (LLM) are the base model for creating more specific natural language producers, like chatbots or personal assistants. BERT, GPT-3, and other LLM can be used to program all kinds of “semantic machines”, to create machines for almost any kind of linguistic purpose.
Source: wiktionary
We design WikiChat (Figure 1) to ground LLMs using Wikipedia to achieve the following objectives. While LLMs tend to hallucinate, our chatbot should be factual.
Source: wiktionary
Modern LLMs are fine-tuned for safety and instruction-following, meaning they are trained to refuse harmful requests. […] In this example, we'll use mlabonne/Daredevil-8B, a mega-merge created with DARE TIES (see my article about model merging) that has the highest MMLU score on the Open LLM Leaderboard in the 8B category.
Source: wiktionary
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