GPT-J 6B vs Codex
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GPT-J 6B
GPT-J 6B is an autoregressive large language model developed by the decentralized research laboratory EleutherAI and released in 2021. Featuring 6 billion parameters, the model was trained on The Pile, a large-scale, curated text dataset. As one of the earliest highly capable open-weight alternatives to proprietary models like GPT-3, its public release provided researchers with accessible architec...
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Codex
Codex is a generative pre-trained model developed by OpenAI and introduced in 2021, specifically designed to translate natural language prompts into functional computer code. As a descendant of the GPT-3 language model, it was further fine-tuned on billions of lines of source code from public GitHub repositories. Codex served as the underlying artificial intelligence engine for the initial release...
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