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Prompt caching - OpenAI API #ai #openai #promptengineering
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In this video, we dive into the Prompt Caching feature of GPT models, specifically focusing on OpenAI's GPT-4o and GPT-4o-mini. Discover how this powerful feature can help you reduce API costs by up to 50% while improving performance and efficiency in your AI-driven applications.
We’ll walk through a practical demo in Google Colab, showing how to:
Extract text from a PDF
Split the document into manageable chunks
Use OpenAI’s API to cache tokens, saving on repetitive API calls
Compare the costs of using cached vs. uncached tokens
By the end of this video, you'll have a clear understanding of how to leverage prompt caching to optimize both the performance and cost-effectiveness of your AI projects.
🔔 Subscribe to AI Quest with Shyam for more tutorials on AI tools and models, and stay updated on the latest AI trends.
We’ll walk through a practical demo in Google Colab, showing how to:
Extract text from a PDF
Split the document into manageable chunks
Use OpenAI’s API to cache tokens, saving on repetitive API calls
Compare the costs of using cached vs. uncached tokens
By the end of this video, you'll have a clear understanding of how to leverage prompt caching to optimize both the performance and cost-effectiveness of your AI projects.
🔔 Subscribe to AI Quest with Shyam for more tutorials on AI tools and models, and stay updated on the latest AI trends.