SnapMeal: AI meal log journal vs. Lightning AI
SnapMeal: AI meal log journal
apps.apple.com/app/mealsnap...AI diet companion app that tracks what you eat, recording calories, food, health rating, and liquid intake.
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,...
Top Reviews
@navy-blue-catfish-41
*Snap Meal (made a typo, not Noon Meal, sorry)
@navy-blue-catfish-41
Just became a member, weekly membership. I've logged my two meals of the day so far and drinks. Seems to be a good way if you want to quickly take on good food / health habits and track/check food score, eating, etc. A friend of mine just recommended Noom Meal this morning. Quite happy tbh!
@goldenrod-meerkat-28
Really efficient app. Again, I really like their AI model that has been trained in nutrition. Now, you will also be required to enrol one of their $2 tier (so not 100% free), but works very well for me
Rankings
Rankings
Pros
- Affordable AI model specifically trained in nutrition× 2
Cons
- You will need to enroll a tier for full usage× 2
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
Cons
Frequently Asked Questions
SnapMeal: AI meal log journal and Lightning AI serve completely different purposes and are not directly comparable. SnapMeal is a diet companion app focused on tracking food intake and nutrition, while Lightning AI provides a platform for developing and deploying AI models using PyTorch Lightning. If you are looking for a personal health tracking tool, SnapMeal is more suitable. However, if you are interested in AI model development and deployment, especially on a large scale, Lightning AI would be the better choice.
The pros of SnapMeal: AI meal log journal include its affordability and the fact that it is an AI model specifically trained in nutrition, making it a useful companion for tracking meals. On the downside, users will need to enroll in a tier for full usage, which may involve additional costs.
SnapMeal: AI meal log journal is an AI diet companion app that helps users track their dietary intake by recording calories, food, health ratings, and liquid intake. It is designed to assist users in developing good food habits and maintaining a healthy diet.
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.
