AIforGoogleSlides vs. Lightning AI
AIforGoogleSlides
www.aiforgoogleslides.com/Use AI for Google Slides to quickly create new professional, presentations using AI. AI for Google Slides is an easy to use add-on that makes it easy for users to create new presentations and edit old presentations using AI - directly in Google Slides. AI for Google Slides can be installed in seconds from the Google Workspace Marketplace, and it only takes a minute to create your first presentation. Try creating a presentation from a prompt or a PDF to see the different creation options available to you with AI for Google Slides. The best part of making a new slide deck with AI for Google Slides is that it's easy to edit it and share it from Google Slides once you are done. Because it's a native add-on, it's fully compatible with your existing presentations, so you don't have to learn how to operate a new tool in order to make the most out of the AI.
Lightning AI
lightning.ai/Lightning AI is the company behind PyTorch Lightning, the deep learning framework for training, finetuning and serving AI models (80+ million downloads). PyTorch Lightning started in 2015 by Lightning founder William Falcon while working on computational neuroscience research at Columbia University scaling Generative Adversarial Networks and Autoencoders in the context of neural decoding working under Liam Paninski. He open sourced it in 2019 while pursuing a PhD in self-supervised learning (SSL) at NYU and Facebook AI Research (FAIR) supervised by Kyunghyun Cho and Yann Lecun. SSL techniques are at the heart of models like Chat GPT (next word prediction). In 2019 PyTorch Lightning started to be used to train huge models on 1024+ GPUs inside Facebook AI. Today, it’s used by over 10,000 companies and 1+ million developers to train, finetune and deploy the world’s largest models. Lightning AI started in 2020 as a platform to train models on the cloud across 1000s of GPUs. Today,...
Rankings
Pros
- Native Google Slides add-on× 1
- Professional slide templates× 1
Cons
Pros
- You can build e2e AI solutions× 1
- Scale your models to dozens of GPUs in a few clicks× 1
- You can collaborate with your team on the cloud× 1
