2. Fine-Tuning a Cost-Effective Model: Instead of deploying a full-scale GPT-4o (costing ~$1,500/month handling 10k queries monthly), we fine-tuned a smaller, more efficient GPT-4o Mini. By using OpenAI’s managed fine-tuning on a curated dataset of 100 Q&A pairs (with 30 for
Cost-Effective Fine-Tuning of GPT-4o Mini Models
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