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vesiculate    
a. 小胞的;小胞状的

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  • AGI: Looking beyond LLMs. Large Language Models (LLMs) have . . .
    In this post, I will explore a few limitations of LLMs and argue why achieving AGI will require more than just scaling up language models I will also list some alternate approaches that may
  • How Close is AGI Actually? Why LLMs Alone Will Not Get . . . - NJII
    In this post, we’ll explore why Large Language Models (LLMs) alone are unlikely to lead us to true AGI and what AGI would really entail Understanding LLMs: The Engine Behind ChatGPT and Claude To grasp why LLMs fall short of AGI, it’s crucial to understand how they work
  • Understanding the Difference: LLMs vs. AGIs - Yet another AI blog
    When comparing AGIs to LLMs, the crucial element to highlight is the difference in their cognitive capabilities While AGIs are envisioned to replicate human intelligence, LLMs are confined to pattern recognition and generation within a specified realm—in this case, language
  • Techmeme: A look at the lack of consensus in the tech . . .
    A look at the lack of consensus in the tech industry on what AGI is, whether LLMs are the best path to it, and what AGI might look like if or when it arrives — It has been tipped as the next big breakthrough out of Silicon Valley, but is it a scientific goal — or a marketing buzzword?
  • A knockout blow for LLMs? - by Gary Marcus - Marcus on AI
    But look, that’s why we invented computers and for that matter calculators: to compute solutions large, tedious problems reliably AGI shouldn’t be about perfectly replicating a human, it should (as I have often said) be about combining the best of both worlds, human adaptiveness with computational brute force and reliability
  • [2309. 10371] Generative AI vs. AGI: The Cognitive Strengths . . .
    A moderately detailed consideration of interactive LLMs as cognitive systems is given, focusing on LLMs circa mid-2023 such as ChatGPT, GPT-4, Bard, Llama, etc Cognitive strengths of these
  • LLM vs AGI | Limiting Reality of Language Models in AGI
    While LLMs like ChatGPT represent significant advancements in AI, their nature as text prediction models limits their potential to evolve into AGI Achieving true AGI would require multiple breakthroughs that enable models to genuinely understand, reason, and innovate, going beyond the capabilities of current language models





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