Ideas from books, articles & podcasts.
current coding pre-training systems heavily rely on either an encoder-only model similar to BERT or a decoder-only model like GPT.
Either way, it is suboptimal for generation and understanding tasks.
CodeBERT needs an additional decoder when used for tasks like code summarization. Apa...
The research team of CodeT5 had over 8.35 million examples to train the AI on, including user-written comments from open source GitHub repositories. While training, the largest and most capable version of CodeT5, which had 220 million parameters, took 12 days on a cluster of 16 Nvidia A100 GPUs 4...
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