Researchers found that ChatGPT’s performance varied significantly over time, showing “wild fluctuations” in its ability to solve math problems, answer questions, generate code, and do visual reasoning between March and June 2022. In particular, ChatGPT’s accuracy in solving math problems dropped drastically from over 97% in March to just 2.4% in June for one test. ChatGPT also stopped explaining its reasoning for answers and responses over time, making it less transparent. While ChatGPT became “safer” by avoiding engaging with sensitive questions, researchers note that providing less rationale limits understanding of how the AI works. The study highlights the need to continuously monitor large language models to catch performance drifts over time.
but could openAI just introduce a flag into the decoder to highlight math questions and ports/transforms those math questions into a simple bash script to calculate the result instead of letting the LLM nodes “calculate” the formula?
I mean this would like straightforward give correct results.
ChatGPT has a similar issue with counting as its nodes do not get the numerics.
however a pc is capable of that. it would just rely on the encoder for parsing the question, and not going further the GPT route.
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but could openAI just introduce a flag into the decoder to highlight math questions and ports/transforms those math questions into a simple bash script to calculate the result instead of letting the LLM nodes “calculate” the formula?
I mean this would like straightforward give correct results. ChatGPT has a similar issue with counting as its nodes do not get the numerics. however a pc is capable of that. it would just rely on the encoder for parsing the question, and not going further the GPT route.
Yes. Apparently they are working on integrating wolfram alpha into ChatGPT. Then it would be able to solve a lot of math problems posed.
that sounds incredibly powerful.