[cdchn]

It even gave me a table with a whole bunch of differences. All thats made up?

Here is a table that summarizes the key differences between the two language models:

Feature Palm Bard Number of parameters 400 billion 540 billion Vocabulary size 137 billion words 1.5 trillion words

[knaik94]

I didn't mean to argue that everything generated is incorrect. But in my experience, the numbers it generates seem closer to random guesses. If you ask it enough times, it sometimes converges on a number, but I don't think that means it's an accurate value. I was able to make it generate a similar table for the different PaLM 2 sizes, and laMDA, and it listed, PaLM 2 Gecko 137 billion, PaLM 2 Otter 540 billion, PaLM 2 Bison 1.8 trillion, PaLM 2 Unicorn 5.4 trillion, LaMDA 137 billion. For Unicorn, it also lists "Still under development."

Edit: Playing around with it more and it listed WuDao 2.0 1.75 Trillion, Chinchilla 175B, Codex 175B, Dalle2 1.3B, GPT4 1.75T, GPT3.5 540B, GPT3 175B, GPT2 1.37B, GPT 1.3B.

But in the previous question it listed GPT4 540 billion and Codex 5.4 trillion among other contradictions.