Casos prácticos:

• Summarization: Condense documents to key points; ideal for textbooks or product descriptions.
• Question Answering: Provide automated responses like a FAQ document from knowledge base content.
• Classification: Label text content appropriately, e.g., determining grammatical correctness.
• Sentiment Analysis: Assess text sentiment, assigning labels like positive or negative emotions.
• Entity Extraction: Extract specific information like movie names from text sources.
• Content Creation: Generate text with specific requirements, such as emails with desired contexts and tone.

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Precios:

Gemini 1.0 Pro pricing is determined by characters rather than tokens, with an average of 4 characters per token.

• Input: $0.5 / 1K tokens.
• Output: $1.5 / 1K tokens.