Fun and Dystopia With AI-Based Code Generation Using GPT-J-6B
Fun and Dystopia With AI-Based Code Generation Using GPT-J-6B Since OpenAI will not open-source the 175 billion parameter GPT-3 text generation model, others such as EleutherAI are developing their own, by training not-quite-as-large Transformer-based models but still getting impressive results. The latest large language model is GPT-J, a 6 billion parameter model by Aran Komatsuzaki and Ben Wang
Tempering Expectations for GPT-3 and OpenAI’s API
On May 29th, OpenAI released a paper on GPT-3, their next iteration of Transformers-based text generation neural networks. Most notably, the new model has 175 billion parameters compared to the 1.5 billion of previous GPT-2 iteration: a 117x increase in model size! Because GPT-3 is so large, it can’t be run on conventional computers, and it only became publicly available as a part of the OpenAI AP
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