Wow some of these comments seem harsh. The author isn't claiming to have invented these techniques and it's cool to see them being applied in the "real world" to save money.
Agreed. Fine-tuning GPT-3 is often called out as expensive and sometimes unnecessary given K-shot & embeddings. I'm glad they shared their success story even if it's not ground-breaking.
Thanks - we used to use a bunch of k-shot prompts (particularly with our previous idea before we pivoted when we got into YC), but with the davinci model we were sending ~3.5k tokens per invocation, which in the long term was costing far more than finetuning!