DeepSpeed vs Lobe.ai

Lobe.ai vs DeepSpeed: What are the differences?

Developers describe Lobe.ai as "A simple tool for training machine learning models". It helps you train machine learning models with a free, easy to use tool. It has everything you need to bring your machine learning ideas to life. Just show it examples of what you want it to learn, and it automatically trains a custom machine learning model that can be shipped in your app. 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.

Lobe.ai and DeepSpeed belong to "Machine Learning Tools" category of the tech stack.

Some of the features offered by Lobe.ai are:

• Machine learning made easy
• Free and Private
• Ship Anywhere

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 3.64K GitHub stars and 321 GitHub forks. Here's a link to DeepSpeed's open source repository on GitHub.