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Important to note that these tokens _can_ be words, but oftentimes a word will be comprised of multiple tokens, so 8192 tokens = 8192 words isn't strictly corre
by drusepth 4y ago
Important to note that these tokens _can_ be words, but oftentimes a word will be comprised of multiple tokens, so 8192 tokens = 8192 words isn't strictly correct.
That said, your point stands. Most short stories are low-to-mid four-digit words, and a jump from 2048 tokens to 8192 squarely fits in that window.
As someone who's been working on multi-layered approaches to using GPT-like models for long text generation (e.g. synopsis -> outline -> paragraph expansions) to get around the limited context window, it'll be interesting to see if people will keep working towards that end or if it'll all become a moot point as the effective context window continues to scale up.
- janalsncm 4y agoDo we know exactly what the GPT3 tokenizer is? It could be combining multiple words together, for example common bigrams. Never mind, it looks like they have a tokenizer tool online and every bigram I’ve given it BPEs to multiple tokens: https://beta.openai.com/tokenizer https://beta.openai.com/tokenizer