How I Taught OpenAI a New Programming Language With Fine-Tuning
SMRTR summary
A software developer spent a month creating 80,000 lines of Hyperlambda code to fine-tune an AI language model. This process involved 3,500 training snippets and 550 validation snippets to teach the model basic Hyperlambda functionality. The developer used OpenAI's GPT-40-mini model, which cost $2-$5 per training run, totaling about $1,500 for the entire project. The resulting model has 80-90% accuracy for simple requests, but creating a fully proficient model would require 10,000 training snippets.
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