Summary
This report benchmarks fine-tuning services that enable users to train custom AI models without requiring powerful local hardware for the training phase. These services allow individuals or small teams to fine-tune models with their own data, offering flexibility for either local inference post-training or service-based inference for larger models. It addresses a significant barrier to entry for custom AI development by democratizing access to necessary computational resources.
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