Fine-tuning GPT3.5-turbo based on 140k slack messages

Fine-tuning GPT3.5-turbo based on 140k slack messages

Ross Lazerowitz spent $83.20 creating a fine-tuned GPT-3.5 turbo model based on 140,000 of his Slack messages (10,399,747 tokens), massaged into a JSONL file suitable for use with the OpenAI fine-tuning API.

Then he told the new model "write a 500 word blog post on prompt engineering", and it replied "Sure, I shall work on that in the morning".

ai api blog engineering fine-tuning finetuning generativeai gpt gpt-3 gpt3 gpt-3.5 gpt3.5 llms messages openai prompt slack tokens turbo word