Based on our record, Strapi seems to be a lot more popular than MiniGPT-4. While we know about 313 links to Strapi, 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.
Https://strapi.io/ does this and much more. It's primarily headless CMS but it produces solid db schema and sensible rest API. Entities can be defined in json or in UI. You get OAuth, admin panel, plugin ecosystem. - Source: Hacker News / 19 days ago
Before starting the tutorial on developing a personal target tracking application with Flutter, Riverpod, Strapi, and GraphQL, ensure you meet the following requirements:. - Source: dev.to / 22 days ago
Strapi is a headless CMS that helps you build content-based sites with the frontend of your choice by providing a reliable, customizable API backend. Strapi allows you to define your own content types, includes a feature-rich admin panel, and provides all of the building blocks you need to develop a comprehensive editing and publication workflow. - Source: dev.to / 27 days ago
Strapi provides a centralized data managing platform. This makes it easier to organize, update, and maintain the FAQ data. It also automatically generates a RESTful API for accessing the content stored in its database. - Source: dev.to / about 2 months ago
Https://prisma.io is popular as I understand it. I've been trying out https://strapi.io the last week and am thoroughly impressed. They both do much more than build queries. One big thing both do is automate database migration calculations. Strapi goes further and gives you a CMS and admin UI on top, as well as doing a lot more of the complex query building from a json object. Both still require a fundamental... - Source: Hacker News / 2 months 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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