Research wants to pre-train a domain 70B model, but fin...

For a deployment volume of 10,000 queries per day, the cost of pre-training a 70B model is prohibitive. The break-even point for pre-training is significantly higher than this volume. A more pragmatic solution is to use LoRA to adapt an 8B model to the domain, paired with a verifier to handle complex queries. This approach satisfies the research requirement for domain adaptation while remaining within the financial constraints.