Exploring the scaling challenges of transformer-based LLMs in efficiently processing large amounts of text, as well as potential solutions, such as RAG systems (Timothy B. Lee/Ars Technica)

Timothy B. Lee / Ars Technica: Exploring the scaling challenges of transformer-based LLMs in efficiently processing large amounts of text, as well as potential solutions, such as RAG systems  —  Large language models represent text using tokens, each of which is a few characters.  Short words are represented by a single token …

Dec 21, 2024 - 22:00
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Exploring the scaling challenges of transformer-based LLMs in efficiently processing large amounts of text, as well as potential solutions, such as RAG systems (Timothy B. Lee/Ars Technica)

Timothy B. Lee / Ars Technica:
Exploring the scaling challenges of transformer-based LLMs in efficiently processing large amounts of text, as well as potential solutions, such as RAG systems  —  Large language models represent text using tokens, each of which is a few characters.  Short words are represented by a single token …

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