Yes, I do.
LLMs produce their answers with a fixed amount of computation per token.
There is no way for them to devote more (potentially unlimited) time and effort to solving difficult problems. This is very much akin to the human fast and subconscious "System 1" decision
AI
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LLMs Limited Computation Per Token System One
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Interactive Statistics Teaching with webR Technology
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Teaching statistics interactively with webR https://
bit.ly/3PcvhP2
#AI #MachineLearning #DeepLearning #LLMs #DataScience -
Digital twins enable sustainable industrial resource management decisions
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With a digital twin for sustainable resource management, industrial leaders can make confident decisions in today's competitive and environmentally conscious business landscape. More insights about this topic, on Dec 7th. https://t.co/Q50KEvVW65 #sponsored #ge_iiot #digitaltwin pic.twitter.com/dgsW31j1gE
— Lucian Fogoros (@fogoros) 26 novembre 2023With a digital twin for sustainable resource management, industrial leaders can make confident decisions in today's competitive and environmentally conscious business landscape. More insights about this topic, on Dec 7th. https://
ow.ly/vjwV50Qa96a #sponsored #ge_iiot #digitaltwin -
Nomic AI’s latest developments in open source language models
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literally @nomic_ai (cc @andriy_mulyar
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Scaling Focus Wasted Four Years of AI Progress
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See my 2020 essay The Next Decade in AI, https://
arxiv.org/abs/2002.06177 IMHO we have wasted nearly 4 years since then, blindly chasing fantasies about scaling, and not making much progress on what I suggested there. -
TÜLU 2: Improved Language Models for Downstream Task Adaptation
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10/ TÜLU 2 – presents a suite of improved TÜLU models for advancing the understanding and best practices of adapting pretrained language models to downstream tasks and user preferences.
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GAIA: Benchmark for General AI Assistants Capabilities
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8/ GAIA – a benchmark for general AI assistants consisting of real-world questions that require a set of fundamental abilities such as reasoning, multimodal handling, web browsing, and generally tool-use proficiency.
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LLMs as Collaborative Agents for Medical Reasoning
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9/ LLMs as Collaborators for Medical Reasoning – proposes a collaborative multi-round framework for the medical domain that leverages role-playing LLM-based agents to enhance LLM proficiency and reasoning capabilities.
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Chain-of-Thought Reasoning and Language Agents Guide
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7/ The Hitchhiker’s Guide From Chain-of-Thought Reasoning to Language Agents – summary of CoT reasoning, foundational mechanics underpinning CoT techniques, and their application to language agent frameworks.