This blog post discusses the introduction of predictive outputs in OpenAI API, designed to enhance response times for code predictions and edits, particularly with large files. The technique uses speculative coding, predicting several tokens in one go, to operate faster during inference by reducing the number of passes needed to generate a complete response. It boosts efficiency without compromising accuracy, potentially reducing time spent from 70 seconds to 20 seconds. The predictive outputs are applicable to the GPT-40 and GPT-40 Mini models. Note that costs incurred are based on the number of tokens processed, which developers need to consider when trading off response speed and cost efficiency. The feature is especially useful for small adjustments to a substantial codebase in large-scale software projects where speed is crucial.
