TuneLLM - Auto Finetuning without any technical hassle.
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TuneLLM will bring down your cost by ~10-20x. -> ₹4.4k/day only
Just use it like any other API provider, pick a reference model (Fable-5/GPT-5.5 etc) and let our system handle the rest autamatically.
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TuneLLM deploys inside your infrastructure and automatically distills your expensive LLM workflows into small fine-tuned models, benchmarked against the frontier model you use today, at a fraction of the cost.
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Plugged in my usual prompt stack and the cost line genuinely looked off at first, had to double-check the dashboard. Responses feel snappy too, which I wasn't expecting for that price tier.
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How does the routing actually decide when to use the smaller model versus the reference one, and is there any visibility into the calls being made under the hood?
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How does the routing actually work under the hood to hit that 10-20x cost reduction, like are you caching responses, picking cheaper models, or something else entirely? Would love to understand before I trust it for production.
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Plugged in my usual prompt stack and the cost line genuinely looked off at first, had to double-check the dashboard. Responses feel snappy too, which I wasn't expecting for that price tier.
How does the routing actually decide when to use the smaller model versus the reference one, and is there any visibility into the calls being made under the hood?
How does the routing actually work under the hood to hit that 10-20x cost reduction, like are you caching responses, picking cheaper models, or something else entirely? Would love to understand before I trust it for production.