Multimodal Large Language Model RSS

MLLM, Multimodal Large Language Model -

What you need to know about multimodal language models

What you need to know about multimodal language models

This article is part of Demystifying AI, a series of posts that (try to) disambiguate the jargon and myths surrounding AI. OpenAI has released GPT-4, the latest edition of its flagship large language model (LLM). And though few details are available, what we do know is that it will be a “multimodal” LLM, according to a Microsoft executive who spoke at a company event last week. Basically, multimodal LLMs combine text with other kinds of information, such as images, videos, audio, and other sensory data. Multimodality can solve some of the problems of the current generation of LLMs. Multimodal language models will also unlock new...

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Artificial Cognition, Deep Thought, MLLM, Multimodal Large Language Model -

Dissociating language and thought in large language models: a cognitive perspective

Dissociating language and thought in large language models: a cognitive perspective

Today's large language models (LLMs) routinely generate coherent, grammatical and seemingly meaningful paragraphs of text. This achievement has led to speculation that these networks are -- or will soon become -- "thinking machines", capable of performing tasks that require abstract knowledge and reasoning. Here, we review the capabilities of LLMs by considering their performance on two different aspects of language use: 'formal linguistic competence', which includes knowledge of rules and patterns of a given language, and 'functional linguistic competence', a host of cognitive abilities required for language understanding and use in the real world. Drawing on evidence from cognitive neuroscience,...

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Deep Thought, GPT-4, Multimodal Large Language Model, Multiversal Stories -

March 15th - Ides of March -Multiversal Stories

March 15th - Ides of March -Multiversal Stories

GPT-4 unlocks Multiversal Stories   The GPT 3.5 response was not bad. We thought as a tribute to 2023 Oscar winner "Everything, Everywhere, All at once", we would explore using AI to generate multiversal possibilities and new stories through AI generated responses that reflect different outcomes manifested manifests across each universe at pivotal events. Click on the ten different universes to ask their Julius Caesar how he might answer this important question: K1 K3 K5 K7 K9 K11 K42 K14 K106 K616   

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