What is the impact of context length scaling from 1M to 2M tokens on the performance degradation of Gemini 1.5

Abstract

Abstract: In this report, we introduce the Gemini 1.5 family of models, representing the next generation of highly compute-efficient multimodal models capable of recalling and reasoning over fine-grained information from millions of tokens of context, including multiple long documents and hours of video and audio. The family includes two new models: (1) an updated Gemini 1.5 Pro, which exceeds the February version on the great majority of capabilities and benchmarks; (2) Gemini 1.5 Flash, a more lightweight variant designed for efficiency with minimal regression in quality. Gemini 1.5 models achieve nea

Research Question

What is the impact of context length scaling from 1M to 2M tokens on the performance degradation of Gemini 1.5 models across different inference tasks?

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