9 ms·
Already in the work. Just had a meeting today with two latinists about it.
by Dorialexander 3y ago
Already in the work. Just had a meeting today with two latinists about it.
- ekianjo 3y agoAwesome!!
- LightMachine 3y agoWhy don't you restrict the training just to old text? That would be awesome
- isoprophlex 3y agoI'm not sure you'd be able to scrape together enough data for that to be viable...
- iopq 3y agohttps://en.wikipedia.org/wiki/Corpus_Inscriptionum_Latinarum https://en.wikipedia.org/wiki/Corpus_Inscriptionum_Latinarum approximately 180,000 inscriptions
- xcv123 3y agoThat only contains a few million tokens. Useless for pre-training an LLM from scratch. You would need to find billions of tokens.
- iopq 3y agoIt should be similar to this 1700s English model, probably trained on modern data to start and then at the end fitted to the smaller data set
- xcv123 3y agoYes it requires an extremely large diverse training set for the first unsupervised stage (pre-training). Then fine tune it on the smaller data set. But we may need to wait for the next generation of LLMs that incorporate planning algorithms so that it can better stay focused on its goal for whatever tasks we are asking it to do for research purposes. Otherwise we end up with this https://news.ycombinator.com/item?id=38418974 https://news.ycombinator.com/item?id=38418974
- Dorialexander 3y agoNot feasible to go with pretraining only. What is possible is to use a larger learning rate but this will be a hard trade-off with conversational capacities. Fine tuning is currently based on original texts with a synthetic prompt. The issues that people have noticed (repetitions, not remembering what was in the prompt) will be more significant if the learning rate is higher. Maybe a solution will be to provide two different variant of the same model, one less immersive and more workable, and the other more immersive and buggy.