Researchers have introduced a technique for compressing a large language model's reams of data, which could increase privacy, save energy and lower costs. The new algorithm works by trimming redundancies and reducing the precision of an LLM's layers of information.
Leaner large language models could enable efficient local use on phones and laptops." ScienceDaily. ScienceDaily, 18 November 2024.
People generalize to form beliefs about a large language model's performance based on what they've seen from past interactions. When an LLM is misaligned with a person's beliefs, even ... Today, there are dozens of large language model chatbots aimed at mental health care -- addressing everything from loneliness among seniors to anxiety and depression in teens. But the efficacy ... A new study reveals how large language models respond to different motivational states. In their evaluation of three LLM-based generative conversational agents --ChatGPT, Google Bard, and ... LLM-based generative chat tools, such as ChatGPT or Google's MedPaLM have great medical potential, but there are inherent risks associated with their unregulated use in healthcare. A new article ...Invisible Touch: AI Can Feel and Measure Surfaces
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