Summary Behavior Changes in GPT-3.5 and GPT-4 arxiv.org
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This summary highlights behavior changes in GPT-3.5 and GPT-4 to aid users in comprehending and utilizing these extensive language models.
Slides
Slide Presentation (9 slides)
Key Points
- GPT-3.5 and GPT-4 are large language models (LLMs) with varying behavior and performance.
- Monitoring behavior changes in GPT-4 and GPT-3.5 is important for understanding and leveraging these models.
- Checking divisibility is a method to determine if a number is prime.
- Verbosity and overlap are metrics used to evaluate language models.
- The June update of GPT-3.5 fixed a previous issue with reasoning steps generation.
- The behavior of GPT-3.5 and GPT-4 has changed over time, with a decrease in directly executable generations and an increase in verbosity.
- The document provides references to research papers on behavior changes in GPT-3.5 and GPT-4.
Summaries
22 word summary
This summary discusses behavior changes in GPT-3.5 and GPT-4, aiming to assist users in effectively understanding and utilizing these large language models.
35 word summary
This summary focuses on the behavior changes in GPT-3.5 and GPT-4, two widely used large language models (LLMs). The paper aims to help users understand and utilize these models effectively. The March and June 2023
264 word summary
GPT-3.5 and GPT-4 are widely used large language models (LLMs) whose behavior and performance can vary significantly over time. The March 2023 and June 2023 versions of these models were evaluated on tasks such
This paper focuses on monitoring the behavior changes in GPT-4 and GPT-3.5, which are the backbone of ChatGPT. The goal is to help users understand and leverage these language models (LLMs) for their own use
To determine if 17077 is a prime number, we check if it is divisible by any number other than 1 and itself. We start by checking if it is divisible by 2, but since it is an odd number, we move on
Two additional common metrics used to evaluate language models (LLMs) are verbosity and overlap. Verbosity measures the length of the generated text, while overlap compares the extracted answers from different versions of the same LLM for the same prompt. The overlap metric
The June update of GPT-3.5 fixed a previous issue in which the reasoning steps were not properly generated before providing an answer. This indicates that different prompting approaches can lead to varying performance due to LLM drifts. However, LLM
The behavior of GPT-3.5 and GPT-4 has changed over time, with a decrease in the percentage of directly executable generations and an increase in verbosity. In March, both models produced directly executable code, but in June they added
The document provides references to various research papers on behavior changes in GPT-3.5 and GPT-4. It includes papers on program synthesis, evaluation of ChatGPT, assessing machine learning API shifts, measuring intelligence, a large-scale longitudinal