Wondering what everyone thinks in case this is true. It seems they’re already beating all open source models including Llama-2 70B. Is this all due to data quality? Will Mistral be able to beat it next year?
Edit: Link to the paper -> https://arxiv.org/abs/2310.17680
No fucking way. GPT-3 has 175B params. In no shape or form they could have discovered the “secret sauce” to make an ultra smart 20B model. TruthfulQA paper suggests that bigger models are more likely to score worse, and ChatGPT’s TQA score is impressively bad. I think the papers responsible for impressive open-source models are max 12-20 months old. Turbo version is probably quantized, that’s all.