Google Gemini Introduces Context Caching: Reduce Costs and Enhance Performance!
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Google Gemini has introduced a context caching feature to reduce costs for requests with repeat content and high input token counts. This feature is recommended for scenarios like chatbots with system instructions or analyzing lengthy video files. Context caching is a paid feature that reduces operational costs by billing based on factors like cache token count and storage duration. The comments discuss the technical aspects and potential benefits of context caching, including comparisons to other caching techniques and considerations for implementation. Some users express interest in seeing this feature implemented in other AI models and APIs. There is also discussion about the strategy of releasing such features to enterprise customers first before wider availability.
🔗 https://ai.google.dev/gemini-api/docs...
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