Google AI Releases Gemini 2.0 Flash Thinking model (gemini-2.0-flash-thinking-exp-01-21): Scoring 73.3% on AIME (Math) and 74.2% on GPQA Diamond (Science) Benchmarks

Artificial Intelligence has made significant strides, yet some challenges persist in advancing multimodal reasoning and planning capabilities. Tasks that demand abstract reasoning, scientific understanding, and precise mathematical computations often expose the limitations of current systems. Even leading AI models face difficulties integrating diverse types of data effectively and maintaining logical coherence in their responses. Moreover, […]

The post Google AI Releases Gemini 2.0 Flash Thinking model (gemini-2.0-flash-thinking-exp-01-21): Scoring 73.3% on AIME (Math) and 74.2% on GPQA Diamond (Science) Benchmarks appeared first on MarkTechPost.

Summary

Google AI has introduced the Gemini 2.0 Flash Thinking model, which has achieved a score of 73.3% on the AIME (Math) benchmark and 74.2% on the GPQA Diamond (Science) benchmark. The model aims to address challenges in multimodal reasoning and planning capabilities by improving abstract reasoning, scientific understanding, and mathematical computations. Current AI systems struggle with integrating diverse data types effectively and maintaining logical coherence in responses.

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