Sagify is a command-line utility that simplifies and expedites the training and deployment of LLMs and Machine Learning/Deep Learning models on AWS SageMaker.
With Sagify, you can train, tune, and deploy ML models on the same day with just a few simple steps.
Features
- Train and deploy LLMs and Machine Learning/Deep Learning models on AWS SageMaker
- Simplify and expedite ML pipelines
- No need to configure cloud instances for training
- No infrastructure pain for running hyperparameter jobs
- No need to hand over models to a software engineer for deployment
Use Cases
- Training and deploying LLMs and ML/DL models on AWS SageMaker
- Streamlining ML pipelines
- Running hyperparameter optimization on the cloud
- Deploying ML models without the need for a software engineer
Suited For
- ML scientists
- Data scientists
- ML engineers
- Deep learning engineers
FAQ
Sagify is a command-line utility that simplifies and expedites the training and deployment of LLMs and Machine Learning/Deep Learning models on AWS SageMaker.
Sagify allows you to train and deploy LLMs and ML/DL models on AWS SageMaker, simplifies and expedites ML pipelines, eliminates the need to configure cloud instances for training, handles infrastructure pain for running hyperparameter jobs, and enables ML scientists to deploy models without the need for a software engineer.
Sagify is suited for ML scientists, data scientists, ML engineers, and deep learning engineers who want to simplify and expedite their ML pipelines on AWS SageMaker.
Sagify can be used for training and deploying LLMs and ML/DL models on AWS SageMaker, streamlining ML pipelines, running hyperparameter optimization on the cloud, and deploying ML models without the need for a software engineer.
