When we talk about building powerful machine learning solutions, like large language models or retrieval-augmented generation, one key element that often flies under the radar is how to connect all the data and models and deploy them in a real product. This is where APIs come in.
In this one, we’re diving into the world of APIs — what they are, why you might need one, and what deployment options are available.
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