I was extremely disappointed. Despite its claims of being a powerful writing tool, it failed to deliver on its promises. The suggestions it provided were often irrelevant and unhelpful, and the content it generated was frequently plagiarized and of poor quality. I would strongly advise against using this tool
I had high hopes for this tool, but it was a complete letdown. It's slow, unintuitive, and produces work that's riddled with errors. I found myself spending more time trying to fix the issues caused by the tool than actually writing
Based on our record, MiniGPT-4 seems to be more popular. It has been mentiond 8 times since March 2021. 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.
Isn't there only two open multimodal LLMs, LLaVA and mini-gpt4? Source: 11 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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