Rosie vs. Lightning AI

Rosie

heyrosie.com/

Rosie is an AI-powered phone answering service designed for small and medium-sized businesses. With Rosie, you can ensure that every call from a potential customer is answered, while also providing excellent support to your existing clients. Available 24/7/365, Rosie answers your calls, delivers accurate information to callers, takes detailed messages, and even schedules appointments directly on your calendar. If you're frustrated with missed calls, potential customers hanging up on voicemail, or being unable to pick up the phone while on the job or after hours, Rosie is your solution. Setting up is quick and easy. Simply forward your calls to your Rosie number whenever you're unavailable, and manage everything from the intuitive Rosie admin. Rosie is ideal for home service providers, local businesses, or any company that relies on phone leads.

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,...

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Rosie
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Lightning AI
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Pros

  • 10x better than voicemail
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  • Effective message taking
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  • Appointment setting
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Cons

Pros

  • You can build e2e AI solutions
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  • Scale your models to dozens of GPUs in a few clicks
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  • You can collaborate with your team on the cloud
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Cons

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