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hypertuningopenai's Introduction

HypertuningOpenAI

AI Image Feature Extraction Via OpenAI network

Training Data

The model was trained on publicly available text-image pairs collected from the internet.

Hosting Live Server

Amazon Web Services (Backend) -> EC2 (750hrs per month, AWS Nitro System)

Requirements Used:

Computer Optimized General Purpose EC2 C7gn instance

About 20% higher optimization computation

40 Gbps bandwidth to EBS

128 vCPUs and 1024 GiB of Memory

Use Cases:

Train and Deploy ML applications

Scale for HPC applications

Run cloud-native enterprise applications

Installation (Initial Network)

pip install openai -> Explore OpenAI_Key according use case

Reference Paper

hypertuningopenai's People

Contributors

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