#GEMINI DATES 2022 PRO#
#GEMINI DATES 2022 SERIES#

We believe there is a need for more robust and nuanced standardized evaluation benchmarks with no leaked data. We choose to report HellaSwag decontaminated results only in a 10-shot evaluation setting. This suggests that the benchmark results are susceptible to the pretraining dataset composition.

#GEMINI DATES 2022 PRO#

LAMBADA (Paperno et al., 2016).Īs part of the evaluation process, on a popular benchmark, HellaSwag (Zellers et al., 2019), we find that an additional hundred finetuning steps on specific website extracts corresponding to the HellaSwag training set (which were not included in Gemini pretraining set) improve the validation accuracy of Gemini Pro to 89.6% and Gemini Ultra to 96.0%, when measured with 1-shot prompting (we measured GPT-4 obtained 92.3% when evaluated 1-shot via the API).

We performed an extensive leaked data analysis after training to ensure the results we report here are as scientifically sound as possible, but still found some minor issues and decided not to report results on e.g. ‘ Evaluation on these benchmarks is challenging and may be affected by data contamination. “ Also, it’s worth reading the Gemini authors discussion on the nuance of these evaluations in the paper (also on the same page), pulling it out for ease: It is also the first model to exceed this threshold, with the prior state-of-the-art result at 86.4%. On Gemini Ultra specifically, on MMLU, it can outperform all existing models, achieving an accuracy of 90.04%.These results show that the performance of Gemini Pro outperforms inference-optimized models such as GPT-3.5, performs comparably with several of the most capable models available, and Gemini Ultra outperforms all current models.

#GEMINI DATES 2022 SERIES#

“In our technical paper, we compare Gemini Pro and Ultra to a suite of external LLMs and our previous best model PaLM 2 across a series of text-based academic benchmarks covering reasoning, reading comprehension, STEM, and coding.

We reached out to Google and a spokesperson responded after this story published, maintaining Google’s own research shows Gemini Pro performs better than GPT-3.5, and that an upcoming, even more powerful version, Gemini Ultra, due out in early 2024, scored higher than GPT-4 on Google’s internal research. As it states plainly near the top: “In sum, we found that across all tasks, as of this writing (December 19, 2023), Gemini’s Pro model achieved comparable but slightly inferior accuracy compared to the current version of OpenAI’s GPT 3.5 Turbo.”įor the Google researchers who have spent hard hours working on Gemini - and their leadership - that conclusion has got to sting. Their paper, “ An In-depth Look at Gemini’s Language Abilities,” was published yesterday on, the pre peer-review and open access science site.

Gemini dates 2022