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Exploring the scaling challenges of transformer-based LLMs in effectively processing massive quantities of textual content, in addition to potential options, akin to RAG methods (Timothy B. Lee/Ars Technica)

Exploring the scaling challenges of transformer-based LLMs in effectively processing massive quantities of textual content, in addition to potential options, akin to RAG methods (Timothy B. Lee/Ars Technica)




Timothy B. Lee / Ars Technica:

Exploring the scaling challenges of transformer-based LLMs in effectively processing massive quantities of textual content, in addition to potential options, akin to RAG methods  —  Giant language fashions characterize textual content utilizing tokens, every of which is a couple of characters.  Quick phrases are represented by a single token …





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