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Anthropic confirmed on August 5 that it is building an in house silicon team to design custom chips for Claude, its first public acknowledgment of the effort The strategy is hardware software co-design, chip and model shaped together, with reporting citing a target of roughly halving per token in...
You have 200,000 support tickets and no taxonomy. Reading a sample gives you the loud categories and misses the long tail, which is where the interesting failures live. Clustering embeddings is the standard answer, and the standard implementation of it has two steps most write-ups skip.
Routing a support ticket into one of forty categories does not obviously need a language model. It needs a function from text to a label, and if you have a few thousand labelled examples there is a much cheaper function available: embed the text once, then run a linear classifier over the vector...