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Hugging Face, an AI start-up, and ServiceNow Research, the company’s R&D division, have started a new project called BigCode with the goal of creating an “innovative” AI system for code in an “open and responsible” way. way.
The goal is to eventually generate a dataset large enough to train a code-generating system, and then use ServiceNow’s internal graphics card cluster to build a prototype of a 15 billion parameter model, which is more larger than Codex (12 billion parameters) but smaller than AlphaCode ( 41.4 billion parameters). The components of an AI system that are learned from historical training data are known as parameters in machine learning.
These components essentially define the system’s ability to a particular problem, such as code generation.
Read More: Hugging Face and ServiceNow launch BigCode, a project to open source code-generating AI systems
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