Based on our record, Fly.io seems to be a lot more popular than MiniGPT-4. While we know about 443 links to Fly.io, we've tracked only 8 mentions of MiniGPT-4. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Fly.io is a platform that enables developers to deploy and run their applications close to their users. It leverages a global network of servers to provide low-latency, high-performance hosting solutions. It simplifies the deployment process by offering a powerful CLI and automated workflows, making it easy to deploy applications with minimal hassle. Additionally, Fly.io supports various programming languages and... - Source: dev.to / 21 days ago
With the Wasp CLI, you can deploy the React frontend, Node.js backend (server), and PostgreSQL database generated by the Wasp compiler to Fly.io with a single command. - Source: dev.to / 26 days ago
This is a MVP for Serverless Postgres. 1/ It uses Fly.io[0], which can automatically pause your database after all connections are released (and start it again when new connections join). 2/ It uses Oriole[1], a Postgres extension with experimental support for S3 / Decoupled Storage[2]. 3/ It uses Tigris[3], Globally Distributed S3-Compatible Object Storage. Oriole will automatically backup the data to Tigris... - Source: Hacker News / about 1 month ago
Fly.io - Very similar to Heroku too, easy to use and support for multiple stacks/languages. - Source: dev.to / about 1 month ago
Fly.io is a cloud platform that allows developers to easily deploy scalable applications. In this article, we will introduce how to manage databases effectively in an application using Remix, Prisma, and LiteFS on Fly.io. - Source: dev.to / about 1 month ago
Isn't there only two open multimodal LLMs, LLaVA and mini-gpt4? Source: 12 months ago
So we use MiniGPT-4 for image parsing, and yep it does return a pretty detailed (albeit not always accurate) description of the photo. You can actually play around with it on Huggingface here. Source: about 1 year ago
We use MiniGPT-4 first to interpret the image and then pass the results onto GPT-4. Hopefully, once GPT-4 makes its multi-modal functionality available, we can do it all in one request. Source: about 1 year ago
But I would like to bring up that there are some multi models(llava, miniGPT-4) that are built based on censored llama based models like vicuna. I tried several multi modal models like llava, minigpt4 and blip2. Llava has very good captioning and question answering abilities and it is also much faster than the others(basically real time), though it has some hallucination issue. Source: about 1 year ago
Https://minigpt-4.github.io/ <-- free image recognition, although not powered by true GPT-4. Source: about 1 year ago
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