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한국어(KO) fly51fly (@fly51fly) 블랙박스 LLM의 파라미터 수를 사실 기반 용량(factual capacity)으로 추정하는 새 연구 논문이 소개됐다. ‘Incompressible Knowledge Probes’는 외부에서 내부 구조를 직접 보지 못하는 모델에 대해, 지식 프로브를

New research probes black box LLMs to estimate parameter count

By PulseAugur Editorial · [1 sources] ·

A new research paper introduces a method called 'Incompressible Knowledge Probes' to estimate the factual capacity of black-box Large Language Models. This technique allows for the estimation of a model's size without direct access to its internal structure. The study proposes using knowledge probes to infer the model's capacity. AI

IMPACT Introduces a novel method for estimating LLM capacity without internal access, potentially aiding in model analysis and comparison.

RANK_REASON The cluster describes a new research paper introducing a novel method for analyzing black-box LLMs.

Read on Mastodon — sigmoid.social →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New research probes black box LLMs to estimate parameter count

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The cluster describes a new research paper introducing a novel method for analyzing black-box LLMs.
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COVERAGE [1]

  1. Mastodon — sigmoid.social TIER_1 한국어(KO) · [email protected] ·

    A new research paper is introduced that estimates the number of parameters of the black box LLM fly51fly (@fly51fly) as factual capacity. 'Incompressible Knowledge Probes' are probes for models that cannot directly see the internal structure from the outside, and knowledge probes

    fly51fly (@fly51fly) 블랙박스 LLM의 파라미터 수를 사실 기반 용량(factual capacity)으로 추정하는 새 연구 논문이 소개됐다. ‘Incompressible Knowledge Probes’는 외부에서 내부 구조를 직접 보지 못하는 모델에 대해, 지식 프로브를 활용해 크기 추정 가능성을 제시한다. https:// x.com/fly51fly/status/20506913 78628428028 # llm # research # blackbox # parameterestimat…

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