Tag: coding

    • How to Make Your Code Predictions Faster Than Your Morning Coffee – #LifeHack

    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.

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    • Watch Us Pretend to Code The Architect & Editor Modes That Your Cat Could Probably Use Too!

    Unleashing the Future of Code Editing A Dive into the Latest AER Updates Hold on to your keyboards, coding wizards! The latest updates to the AER (Architect-Editor Relationship) system are like a double espresso for your programming capabilities. The introduction of the Architect and Editor Modes brings a revolutionary twist to code editing efficiency. We’re

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    From Code to Caffeine: Unleashing Your Inner Code Wizard with Tabby ML & Kodam – The Free Sidekick Adventure of a Lifetime

    # The Quest for Free Coding Companions: Tabby ML and Kodam In the vast digital jungle where programmers wrestle with code, it’s no surprise that many seek the most effective tools to ease the burden of their daily grind. After experiencing a taste of rapid coding assistance with GitHub Copilot, the sudden cold turkey withdrawal

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