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Embedding chunks and finding chunks based on similarity is definitely in use now. But if you can increase context size cheaply then the model can figure out wha
by jerrygenser 3y ago
Embedding chunks and finding chunks based on similarity is definitely in use now. But if you can increase context size cheaply then the model can figure out what's relevant.
- newswasboring 3y agoYeah I get that, after all attension is all you need. But unless you want to spend a bunch of money on the 32k context version I don't think there are other options than embeddings and index.
- cced 3y agoWhat is the state of the art for running models locally in terms of context size?
- newswasboring 3y agoI think local models SOTA is llama which has 2048 context[1]. [1] https://github.com/facebookresearch/llama/issues/16 https://github.com/facebookresearch/llama/issues/16