Deep Thought RSS

GPT-4, Tesla AI -

Are you ready to take your AI game to the next level? Look no further than OpenAI and their revolutionary language model, ChatGPT. In this video, we'll dive deep into the world of OpenAI, exploring everything from the ChatGPT technology to the OpenAI Playground. We'll answer questions like "What is ChatGPT?" and "How to use ChatGPT?", and provide step-by-step tutorials on how to harness the power of this groundbreaking technology. But that's not all - we'll also explore the differences between ChatGPT and other AI technologies, like GPT-4, and provide updates on the latest news in the world of OpenAI....

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Artificial Cognition, Chain-of-Thought Prompting, MLLM -

We explore how generating a chain of thought -- a series of intermediate reasoning steps -- significantly improves the ability of large language models to perform complex reasoning. In particular, we show how such reasoning abilities emerge naturally in sufficiently large language models via a simple method called chain of thought prompting, where a few chain of thought demonstrations are provided as exemplars in prompting. Experiments on three large language models show that chain of thought prompting improves performance on a range of arithmetic, commonsense, and symbolic reasoning tasks. The empirical gains can be striking. For instance, prompting a 540B-parameter...

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

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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Artificial Cognition -

Explainable artificial intelligence (XAI) is a set of processes and methods that allows human users to comprehend and trust the results and output created by machine learning algorithms. Explainable AI is used to describe an AI model, its expected impact and potential biases. Sound complicated? Master Inventor Martin Keen gives you a simple (and fun) explanation on how explainable AI works.

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Digital Minds, Gary Marcus, Ray Kurzweil, Singularity Ready -

Gary Marcus' article, "Ray Kurzweil’s Dubious New Theory of Mind," is a critique of futurist Ray Kurzweil's book, "How to Create a Mind." In the article, Marcus highlights some key issues with Kurzweil's theories on artificial intelligence (AI) and the human mind. Although Marcus raises some valid points, the article could benefit from a more balanced presentation and a deeper exploration of Kurzweil's ideas.   Critique: Misrepresentation of Kurzweil's theory   Marcus accuses Kurzweil of oversimplifying the human mind by focusing on the neocortex's hierarchical structure. While it's true that Kurzweil places significant emphasis on the neocortex, he also addresses...

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