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Google Gemini 2.0 Flash

Question answering
Text generation
Zero-shot classification
Summarization
Conversational
Image classification
Text classification
Custom ontology
Translation
Named entity recognition

Gemini 2.0 Flash is designed to handle high-volume, high-frequency tasks at scale and is highly capable of multimodal reasoning across vast amounts of information with a context window of 1 million tokens.


Intended Use

  • Text generation

  • Grounding with Google Search

  • Gen AI SDK

  • Multimodal Live API

  • Bounding box detection

  • Image generation

  • Speech generation


Performance

Gemini 2.0 Flash outperforms the predecessor Gemini 1.5 Pro on key benchmarks, at twice the speed. It also features the following improvements:

  • Multimodal Live API: This new API enables low-latency bidirectional voice and video interactions with Gemini.

  • Quality: Enhanced performance across most quality benchmarks than Gemini 1.5 Pro.

  • Improved agentic capabilities: 2.0 Flash delivers improvements to multimodal understanding, coding, complex instruction following, and function calling. These improvements work together to support better agentic experiences.


Limitations

  • Context: May struggle with maintaining context over extended conversations, leading to inconsistencies in long interactions.

  • Bias: As it is trained on a large corpus of internet text, it may inadvertently reflect and perpetuate biases present in the training data.

  • Creativity Boundaries: While capable of creative outputs, it may not always meet specific creative standards or expectations for novel and nuanced content.

  • Ethical Concerns: Can be used to generate misleading information, offensive content, or be exploited for harmful purposes if not properly moderated.

  • Comprehension: Might not fully understand or accurately interpret highly technical or domain-specific content, especially if it involves recent developments post-training data cutoff.

  • Dependence on Prompt Quality: The quality and relevance of the output are highly dependent on the clarity and specificity of the input prompts provided by the user.


Citation

https://cloud.google.com/vertex-ai/generative-ai/docs/gemini-v2#2.0-flash