AI/LLM: Difference between revisions

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** '''2023-03-16''' [https://blog.kagi.com/kagi-ai-search Kagi's approach to AI in search]
** '''2023-03-16''' [https://blog.kagi.com/kagi-ai-search Kagi's approach to AI in search]
* [https://www.perplexity.ai/ Perplexity]
* [https://www.perplexity.ai/ Perplexity]
** [https://www.perplexity.ai/search/what-software-is-needed-for-tr-XT_VpmS4RRiFBZF0bvuNOQ What software is needed for training a large language model (LLM)?]
==Notes==
==Notes==
* '''2024-10-07''' [https://arxiv.org/pdf/2410.05229 GSM-Symbolic: Understanding the Limitations of Mathematical Reasoning in Large Language Models] (paper by Apple researchers; [https://sfba.social/@drahardja/113310311247575811 via])
* '''2024-10-07''' [https://arxiv.org/pdf/2410.05229 GSM-Symbolic: Understanding the Limitations of Mathematical Reasoning in Large Language Models] (paper by Apple researchers; [https://sfba.social/@drahardja/113310311247575811 via])

Revision as of 12:20, 16 October 2024

Large Language Model AI (LLMs)

I often use these for answering questions (usually technical, occasionally political).

commercial services

Notes

Code Sources

  • Auto-GPT «chains together LLM "thoughts", to autonomously achieve whatever goal you set.»
    • Downside: not fully autonomous; still depends on OpenAI
  • privateGPT

Footnote

  1. ...in the sense that LLMs in general are not really what the term "AI" means to me.