The Nonlinear Library AF - Google Gemini Announced by g-w1
Dec 6, 2023
01:27
Welcome to The Nonlinear Library, where we use Text-to-Speech software to convert the best writing from the Rationalist and EA communities into audio. This is: Google Gemini Announced, published by g-w1 on December 6, 2023 on The AI Alignment Forum.
Google just announced Gemini, and Hassabis claims that "in each of the 50 different subject areas that we tested it on, it's as good as the best expert humans in those areas"
State-of-the-art performance
We've been rigorously testing our Gemini models and evaluating their performance on a wide variety of tasks. From natural image, audio and video understanding to mathematical reasoning, Gemini Ultra's performance exceeds current state-of-the-art results on 30 of the 32 widely-used academic benchmarks used in large language model (LLM) research and development.
With a score of 90.0%, Gemini Ultra is the first model to outperform human experts on MMLU (massive multitask language understanding), which uses a combination of 57 subjects such as math, physics, history, law, medicine and ethics for testing both world knowledge and problem-solving abilities.
Our new benchmark approach to MMLU enables Gemini to use its reasoning capabilities to think more carefully before answering difficult questions, leading to significant improvements over just using its first impression.
It also seems like it can understand video, which is new for multimodal models (GPT-4 cannot do this currently).
Thanks for listening. To help us out with The Nonlinear Library or to learn more, please visit nonlinear.org.
Google just announced Gemini, and Hassabis claims that "in each of the 50 different subject areas that we tested it on, it's as good as the best expert humans in those areas"
State-of-the-art performance
We've been rigorously testing our Gemini models and evaluating their performance on a wide variety of tasks. From natural image, audio and video understanding to mathematical reasoning, Gemini Ultra's performance exceeds current state-of-the-art results on 30 of the 32 widely-used academic benchmarks used in large language model (LLM) research and development.
With a score of 90.0%, Gemini Ultra is the first model to outperform human experts on MMLU (massive multitask language understanding), which uses a combination of 57 subjects such as math, physics, history, law, medicine and ethics for testing both world knowledge and problem-solving abilities.
Our new benchmark approach to MMLU enables Gemini to use its reasoning capabilities to think more carefully before answering difficult questions, leading to significant improvements over just using its first impression.
It also seems like it can understand video, which is new for multimodal models (GPT-4 cannot do this currently).
Thanks for listening. To help us out with The Nonlinear Library or to learn more, please visit nonlinear.org.