flydelabs/flyde-openai-code-generation-research

This project contains code used to benchmark various approaches of code generation for Flyde.

Flyde - OpenAI Benchmark Process

This project contains code used to benchmark various approaches of code generation for Flyde.

Read the blog post here - https://medium.com/@gabrielgrinberg/openai-fine-tuning-vs-chat-completion-a-quality-latency-and-costs-comparison-fc58e3ec3ec

Learn more about Flyde: https://www.flyde.dev

Note: while most of the process was automated, some manual steps were required. If you're trying to reproduce the results, please reach out to me and I'll be happy to help.

Running

Install dependencies

pnpm install

Scripts

Note: some scripts require a valid and GPT-4 enabled OpenAPI key available on env variable OPEN_AI_KEY.

pnpm run generate:versions

Generate prompts and an alternate version of the code for each code part.

pnpm run prepare:dataset

Writes a JSON file with all the prompts and code parts

pnpm run prepare:jsonl

Tranforms the JSON file into a JSONL file that can be used by the OpenAI CLI tool

pnpm run benchmark:generate

Generates parts based on the benchmark prompts

pnpm run benchmark:score

Scores the generated parts using GPT-4

pnpm run benchmark:csv

Generates a CSV file with the results