The best way to sum up GPT-4 as compared to GPT-3 might be this:Its bad answers are less bad. When asked a point-blank factual question, GPT-4 is shaky, but considerably better at not simply lying to you than GPT-3. In this example, you can see the model struggle with a questio...
For each condition, the point estimates represent relative changes compared to the Human–Human reference in the odds of post-treatment agreement assuming higher values (see Supplementary Section3for more details). Horizontal lines indicate 95% CIs based on two-sidedt-tests;n = 750. GPT-4 ...
Compared to the latter, OpenAI describes thatGPT-4 is more capableby being able to handle much more nuanced instructions and deliver more reliable and creative output. The new software alsoperforms betterthan the former version in benchmarks and simulated exams originally designed for humans such a...
GPT-4 was more likely to provide false positive answers when the 60 questions were submitted individually compared to when they were submitted together. Conclusions: GPT-4 reproducibly answered 3600 questions about 60 papers on HIVDR with moderately high accuracy, recall, and precision. The ...
completing tasks 25% faster and achieved a 40% higher quality in their work as compared to ...
Fine-tuning can enhance model performance significantly, even allowing fine-tuned GPT-3.5 Turbo to match or exceed GPT-4 capabilities on certain specialized tasks. By optimizing the model for a narrow domain, it achieves superior results in that niche problem space compared to a generalist model....
张启航问:Please read the FIDIC and NEC Conditions of Contract and in comparison, what do you think are the distinctive features of the writing of the NEC4 core Clauses as compared to the FIDIC General Conditions? GPT-4答: The NEC (New...
Using fine-tuning to translate technical documents can significantly improve the performance of a base model compared to what you can obtain with few-shot learning. The main reason is that technical documents often contain specialized vocabulary and complex sentence structures that few-shot learning can...
While not the first, GPT-4o is considerably more ambitious and powerful than either of these earlier attempts. Is GPT-4o a radical change from GPT-4 Turbo? How radical the changes are to GPT-4o's architecture compared to GPT-4 Turbo depends on whether you ask OpenAI's engineering or ...
Two instruction-tuned LLaMA models were compared, fine-tuned on data generated by GPT-4 and GPT-3 respectively. LLaMA-GPT-4 performs substantially better than LLaMA-GPT-3 in the "Helpfulness" criterion. LLaMA-GPT-4 performs similarly to the original GPT-4 in all three criteria, suggesting a...