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Google Gemini 2.0 Pro

Text generation
Question answering
Named entity recognition
Video global classification
Zero-shot classification
Summarization
Conversational
Image classification
Text classification
Video per frame classification
Custom ontology

Gemini 2.0 Pro is the strongest model among the family of Gemini models for coding and world knowledge, and it features a 2M long context window. Gemini 2.0 Pro is available as an experimental model in Vertex AI and is an upgrade path for 1.5 Pro users who want better quality, or who are particularly invested in long context and code.


Intended Use

  • Multimodal input

  • Text output

  • Prompt optimizers

  • Controlled generation

  • Function calling (excluding compositional function calling)

  • Grounding with Google Search

  • Code execution

  • Count token


Performance

Google Gemini 2.0 Pro boasts the strongest coding performance and superior ability to handle complex prompts, demonstrating better understanding and reasoning of world knowledge than any previous model. 

It features the largest context window of 2 million tokens, enabling comprehensive analysis and understanding of large amounts of information. Additionally, it can call external tools like Google Search and execute code, enhancing its utility for a wide range of tasks, including coding and knowledge analysis.


Limitations

  • Context: Gemini 2.0 Pro may struggle with maintaining context over extended conversations, leading to inconsistencies in long interactions.

  • Bias: As Gemini 2.0 Pro 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, Gemini 2.0 Pro may not always meet specific creative standards or expectations for novel and nuanced content.

  • Ethical Concerns: Gemini 2.0 Pro can be used to generate misleading information, offensive content, or be exploited for harmful purposes if not properly moderated.

  • Comprehension: Gemini 2.0 Pro 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 Gemini 2.0 Pro's 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-pro

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