3 ms·
Definitely has trended upward, there’s no special number. It’s just a matter of how much compute, storage, time to allocate to that part of the architecture.
by WhitneyLand 2y ago
Definitely has trended upward, there’s no special number. It’s just a matter of how much compute, storage, time to allocate to that part of the architecture.
- causal 2y agoHas it? It's my understanding that GPT-3 was 12,288 and GPT-4 went down to 3072.
- WhitneyLand 2y agoI’m not aware that internal embedding dimension size has been made public for Gpt4 et al. In general for models we know its trended upward, but for sure it’d be interesting to know what they’re using now.