May 20, 2024, 1:20 a.m. | Aram Panasenco

DEV Community dev.to

In its release announcement of Claude 3 in March of 2024, Anthropic advertised that the new LM can solve 95% of grade-school math problems (GSM8K) and 50% of graduate-level reasoning problems (GPQA).


The 50% score on graduate-level reasoning is particularly impressive. Highly skilled non-expert humans with unlimited Internet access only get 34% on GPQA. However, this begs the question: Why is it that an AI that can beat skilled humans at graduate-level reasoning can't solve …

access ai announcement anthropic claude claude 3 expert graduate humanity humans internet internet access llm lm math reasoning release school skilled solve will

Senior Machine Learning Engineer

@ GPTZero | Toronto, Canada

ML/AI Engineer / NLP Expert - Custom LLM Development (x/f/m)

@ HelloBetter | Remote

Doctoral Researcher (m/f/div) in Automated Processing of Bioimages

@ Leibniz Institute for Natural Product Research and Infection Biology (Leibniz-HKI) | Jena

Seeking Developers and Engineers for AI T-Shirt Generator Project

@ Chevon Hicks | Remote

GN SONG MT Market Research Data Analyst 11

@ Accenture | Bengaluru, BDC7A

GN SONG MT Market Research Data Analyst 09

@ Accenture | Bengaluru, BDC7A