AIforGoogleSlides vs. Lightning AI
AIforGoogleSlides
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 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,...
Reviews
Reviews
| Item | Votes | Upvote |
|---|---|---|
| Native Google Slides add-on | 1 | |
| Professional slide templates | 1 |
| Item | Votes | Upvote |
|---|---|---|
| No cons yet, would you like to add one? | ||
| Item | Votes | Upvote |
|---|---|---|
| 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 |
| Item | Votes | Upvote |
|---|---|---|
| No cons yet, would you like to add one? | ||
Frequently Asked Questions
AIforGoogleSlides is specifically designed for creating and editing presentations directly within Google Slides, offering ease of use with native integration and professional slide templates. Lightning AI, on the other hand, is a platform focused on training, finetuning, and deploying AI models. Therefore, AIforGoogleSlides is better suited for presentation creation, while Lightning AI excels in the domain of AI model development and deployment.
Yes, Lightning AI is more suitable for AI model development as it provides an end-to-end platform for training, finetuning, and deploying AI models across thousands of GPUs. It is designed to handle complex AI tasks and model scaling, making it ideal for developers and researchers working on AI solutions. AIforGoogleSlides, however, is geared towards enhancing presentation creation within Google Slides and does not offer features for AI model development.
AIforGoogleSlides is a Google Slides add-on that allows users to quickly create and edit professional presentations using AI. It can be installed from the Google Workspace Marketplace and offers various creation options, such as starting from a prompt or a PDF. As a native add-on, it seamlessly integrates with Google Slides, making it easy to edit and share presentations.
Pros of AIforGoogleSlides include being a native Google Slides add-on, which ensures full compatibility with existing presentations, and offering professional slide templates that enhance the quality of presentations. Currently, there are no listed cons for AIforGoogleSlides.
Lightning AI is the company behind PyTorch Lightning, a deep learning framework for training, finetuning, and serving AI models. The platform offers a comprehensive end-to-end solution for AI development, from distributed data processing and model training to deployment and serving AI applications.
Pros of Lightning AI include the ability to build end-to-end AI solutions, scale models to dozens of GPUs with just a few clicks, and collaborate with your team on the cloud. Currently, no cons have been listed.
PyTorch Lightning was founded by William Falcon in 2015 during his computational neuroscience research at Columbia University. He open-sourced the project in 2019 while pursuing a PhD at NYU and Facebook AI Research (FAIR).
PyTorch Lightning is used for training, finetuning, and deploying AI models. It is utilized by over 10,000 companies and more than 1 million developers to handle large-scale models on extensive GPU clusters.
The core ethos of Lightning Studios is 'You do the science, we do the engineering.' This philosophy aims to provide an intuitive, easy-to-use, and fast platform for AI research and deployment, enabling users to focus on scientific innovation while Lightning Studios handles the engineering complexities.
