Then that model is served up and exposed through Vertex where our front-end components and such can call in to that for chat, AppSheet code completion, things like that - with, of course, Google’s scale security and performance.” “That knowledge graph now is part of the pipeline that’s constantly feeding and training this model. “ that base model, and then a large team - a lot of my folks actually - in developer relations have been helping fine-tune that with our multi-year collection of a knowledge graph of everything Google Cloud produces,” Google Cloud’s Richard Seroter explained. Based on Google’s PaLM 2 large language model, the company specifically trained Codey to handle coding-related prompts, but it also trained the model to handle queries related to Google Cloud in general (all of this, by the way, falls under Google’s Duet AI branding). At its annual I/O developer conference, Google today announced the launch of a number of AI-centric coding tools, including its competitor to GitHub’s Copilot, a chat tool for asking questions about coding and Google Cloud services, as well as AI-assisted coding in Google’s no-code AppSheet product.Īt the core of virtually all of these new code completion and code generation tools is Codey.
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