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> this announcement seems to very focused on number of parameters And yet your own project headline is "Pathways Language Model (PaLM): Scaling to 540 Billion
by javajosh 4y ago
> this announcement seems to very focused on number of parameters
And yet your own project headline is "Pathways Language Model (PaLM): Scaling to 540 Billion Parameters for Breakthrough Performance"[0].
0-https://ai.googleblog.com/2022/04/pathways-language-model-palm-scaling-to.html https://ai.googleblog.com/2022/04/pathways-language-model-pa...
- panda-giddiness 4y ago1. The OP did not criticize the headline; they criticized the content. If you read the article that you linked, you would find that they do, in fact, evaluate the performance of the model. 2. 540 billion parameters is notable for its size, which is likely why they lead with that particular headline.
- gwern 4y agoThe difference is PaLM was extensively benchmarked and it performed as well as it should, which is to say, amazingly well. The irony here is that you should instead be invoking that other ~500b model, Nvidia's Megatron-530b, which was undertrained, only cursorily evaluated (no interest in any new capabilities or even examining old ones like inner monologues) and promptly forgotten by everyone after the headlines about being the largest dense model: https://arxiv.org/abs/2201.11990#microsoftnvidia https://arxiv.org/abs/2201.11990#microsoftnvidia