RabbitHoles AI vs. Lightning AI
RabbitHoles AI
RabbitHoles AI is an app to have AI conversations on an Infinite canvas. Each node on the canvas is a conversation. Multiple conversations can be connected to share context, along with adding other data sources like Pdf files, youtube videos, etc Key Features - Multiple Chats On Canvas: Have multiple connected chats with AI on the same canvas. - Unlimited Canvases: Create unlimited canvases - Latest Pro Models: Chat with all the popular LLM models from ChatGPT, Claude, Perplexity, Gemini, and Grok (xAI) - Bring Your Own Keys: Bring your own keys. Everything is stored locally - One-Time Purchase: Pay only once and use the product forever Benefits
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
RabbitHoles AI is specifically designed for AI conversation on an infinite canvas, allowing users to have multiple connected conversations with different large language models (LLMs) in a non-linear format. It is ideal for users looking to explore AI interactions in a spatial and context-rich manner. On the other hand, Lightning AI focuses on building, training, and deploying deep learning models at scale, making it suitable for developers and companies looking to train and deploy AI models efficiently. The choice between the two depends on whether you are more interested in AI conversational interfaces (RabbitHoles AI) or deep learning model development and deployment (Lightning AI).
Lightning AI offers collaborative development features by allowing teams to work together on the cloud, scale models to multiple GPUs, and build end-to-end AI solutions. This makes it a strong choice for collaborative AI development, especially in a team setting. RabbitHoles AI, while offering unique conversational exploration features, does not emphasize collaborative development in the same way Lightning AI does. Therefore, for team-based AI development, Lightning AI would be the more suitable option.
RabbitHoles AI is an app designed to facilitate AI conversations on an infinite canvas. Each node on the canvas represents a conversation, allowing users to connect multiple conversations and share context. The app also supports adding external data sources such as PDF files and YouTube videos.
Key features of RabbitHoles AI include the ability to have multiple connected chats with AI on the same canvas, create unlimited canvases, and interact with popular LLM models like ChatGPT, Claude, Perplexity, Gemini, and Grok (xAI). Users can also bring their own keys, with all data stored locally, and benefit from a one-time purchase with lifetime access.
RabbitHoles AI offers several benefits, such as preventing loss of context through branching chats, enabling faster learning and research on a whiteboard-like canvas, and supporting non-linear chats that align with how our brains think. It also allows users to gain diverse perspectives by interacting with multiple LLM models within a single window for deep intellectual exploration.
RabbitHoles AI is particularly beneficial for advanced AI users who seek to have long, explorative conversations with different AI models. The app's features reduce repetition, copy-pasting, and loss of context by allowing users to create conversation branches, maintain multiple conversations on a single canvas, and mix and match various chats to share context.
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.
