Skyl.ai vs DeepSpeed: What are the differences?

Developers describe Skyl.ai as "Manage your Complete Machine Learning Workflow". Build & deploy ML models faster on unstructured data. No specialized skills required Easy-to-use & scalable SaaS platform.. On the other hand, DeepSpeed is detailed as "A deep learning optimization library that makes distributed training easy, efficient, and effective (By Microsoft)". It is a deep learning optimization library that makes distributed training easy, efficient, and effective. It can train DL models with over a hundred billion parameters on the current generation of GPU clusters while achieving over 5x in system performance compared to the state-of-art. Early adopters of DeepSpeed have already produced a language model (LM) with over 17B parameters called Turing-NLG, establishing a new SOTA in the LM category.

Skyl.ai and DeepSpeed can be primarily classified as "Machine Learning" tools.

Some of the features offered by Skyl.ai are:

• Collect, label, and visualize unstructured data
• Guided modules to upload, clean, label, and visualize unstructured data
• Create & train models automatically

On the other hand, DeepSpeed provides the following key features:

• Distributed Training with Mixed Precision
• Model Parallelism
• Memory and Bandwidth Optimizations

DeepSpeed is an open source tool with 1.98K GitHub stars and 134 GitHub forks. Here's a link to DeepSpeed's open source repository on GitHub.