Anthropic’s Claude AI has a secret trick that can make it up to 90% cheaper to use. By caching frequently used prompts, developers can significantly reduce the cost of running large language models like Claude, while also improving response times.
The Cost of Large Language Models
Running large language models like Claude can be expensive, especially for tasks that require long prompts or context. Examples include providing numerous examples for the model to reference, maintaining long chat histories, or working with lengthy files for question answering. These lengthy prompts quickly add up in terms of cost, making it challenging for developers to fully leverage the power of these models.
Prompt Caching: The Cost-Saving Solution
Anthropic has introduced prompt caching for its Claude AI API, allowing developers to store frequently used context between API calls. This means that if a developer sends a prompt that shares a significant portion with a previously cached prompt, Anthropic will use the saved part, reducing the overall cost of the API call. Additionally, this caching mechanism also improves response times, making the entire process more efficient.
Why Should You Care?
Prompt caching is now available for all Claude models, making it an attractive option for developers and businesses looking to leverage the power of large language models while keeping costs in check.
– Reduces costs for long chat sessions with Claude 3.5 Sonnet
– Enables affordable data annotation tasks with Claude 3 Haiku
– Improves response times for AI-powered applications
– Democratizes access to advanced language models
– Facilitates innovation and experimentation with AI technologies