AutoCog — Generate Cog configuration with GPT-4

1. 1Provide a machine learning repository to AutoCog
2. 2Allow AutoCog to order files based on importance for Cog
3. 3Pass relevant files to GPT-4 for generating cog.yaml and predict.py files
4. 4Run the generated prediction command and diagnose errors if needed
5. 5Use the --continue flag to pick up where AutoCog left off if manual intervention is required

Machine learning engineers and DevOps teams can benefit from AutoCog, as it streamlines the process of deploying models and reduces the need for manual configuration

💡 AutoCog leverages GPT-4 to automate the creation of Cog configurations, reducing manual effort and improving deployment efficiency

🤖 AutoCog uses GPT-4 to generate Cog configurations, automating ML deployment! 💻