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Interesting. New models are estimated at ~5T params, so 45,000x increase over BERT base (110m). But vocab size of 200k, so only an increase of 7x over BERT base (30k).
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Interesting that Grok 4.5 nears or exceeds OpenAI and Anthropic models in some benchmarks at only 1.5 trillion parameters per their announcement post.
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Where do these estimates come from?
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a dark anal cavity somewhere next to marketing.
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BERT is not an LLM, it's an encoder-only model, i.e. it doesn't generate new text. the first somewhat useful publicly accessible LLM was GPT-3 with 175B params, and it was also the last frontier model whose parameter count was disclosed.
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[dead]
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