Context Caching with Gemini 1.5 Flash
Google recently released a new feature called context-caching which is available via the Gemini APIs through the Gemini 1.5 Pro and Gemini 1.5 Flash models. This guide provides a basic example of how to use context-caching with Gemini 1.5 Flash.
https://youtu.be/987Pd89EDPs?si=j43isgNb0uwH5AeI
The Use Case: Analyzing a Year's Worth of ML Papers
The guide demonstrates how you can use context caching to analyze the summaries of all the ML papers we've documented over the past year. We store these summaries in a text file, which can now be fed to the Gemini 1.5 Flash model and query efficiently.
https://www.promptingguide.ai/applications/context-caching
Google recently released a new feature called context-caching which is available via the Gemini APIs through the Gemini 1.5 Pro and Gemini 1.5 Flash models. This guide provides a basic example of how to use context-caching with Gemini 1.5 Flash.
https://youtu.be/987Pd89EDPs?si=j43isgNb0uwH5AeI
The Use Case: Analyzing a Year's Worth of ML Papers
The guide demonstrates how you can use context caching to analyze the summaries of all the ML papers we've documented over the past year. We store these summaries in a text file, which can now be fed to the Gemini 1.5 Flash model and query efficiently.
https://www.promptingguide.ai/applications/context-caching