Shosay vs. Lightning AI
Shosay
Shosay is an AI-powered free tool to collect, manage, and share testimonials, recommendations, and references. SHO what people SAY about you. Key Features - Social Proof Collection: Automate testimonial, recommendation, and reference collection. Use AI to prompt the right questions. - Modern Social Proof: Collect video and audio powered by AI. Not just text. - Social Proof Management: Instantly import all your social proof from over 30 platforms - Wall of Love: Create beautiful widgets to embed in your websites with all your social proof - Smart Curation: Segment relevant social proof to the target audience. AI enhanced analytics to push the right message to your target audience. - Enhanced Sharing: Create images and videos.
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,...
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Frequently Asked Questions
Shosay is specifically designed for collecting, managing, and displaying social proof such as testimonials, recommendations, and references. Its key features include AI-powered social proof collection and management, along with tools to embed this proof on websites. Lightning AI, on the other hand, is a platform for developing, training, and deploying AI models, particularly with PyTorch Lightning. It is not focused on social proof management. Therefore, if your goal is to manage social proof, Shosay is the more suitable option.
Lightning AI is specifically created for AI model development, training, and deployment with its PyTorch Lightning framework. It supports large-scale model training across multiple GPUs and provides a comprehensive platform for AI development. Shosay, however, is not designed for AI model development; it focuses on collecting and managing social proof. Therefore, for AI development and deployment, Lightning AI is the better choice.
Shosay is an AI-powered free tool designed to collect, manage, and share testimonials, recommendations, and references. It allows you to automate and enhance the process of gathering social proof, using AI to prompt the right questions and collect data in various formats such as text, video, and audio.
Shosay offers several key features including social proof collection and management, the ability to import testimonials from over 30 platforms, creation of 'Wall of Love' widgets for websites, smart curation with AI-enhanced analytics, and enhanced sharing options for images and videos.
Shosay helps build trust by consolidating all positive feedback and testimonials in one place, making it easy to display them on your website. This social proof serves as a cornerstone of trust, helping to increase confidence among potential customers or employers.
Shosay can be used in various scenarios such as importing positive feedback from social media platforms, storing video references for job applications, and collecting recommendations for personal projects like baking. These features help users showcase their achievements and build credibility.
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.