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You’re still focused about training :)

training doesn’t matter if inference costs are high and people don’t pay for them






but inference costs arent high already and there are tons of hardware companies that can do relatively cheap LLM inference

Inference costs per invocation aren’t high. Scale it out to billions of users and it’s a different story.

Training is amortized over each inference, so the cost of inference also needs to include the cost of training to break even unless made up elsewhere




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