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Based on our record, Perplexity.ai should be more popular than MiniGPT-4. It has been mentiond 61 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.
Perplexity AI - Quickly search for and gather information. - Source: dev.to / 2 months ago
The way we search for stuff on the web is changing thanks to two popular techniques that are rising with the tide of AI: Vector Search and Retrieval Augmented Generation (RAG). These techniques are reshaping the landscape of search technologies, giving rise to answering engines like Perplexity over traditional search engines like Google. - Source: dev.to / 2 months ago
Most of the time, I just google the error or problem (or lately using https://perplexity.ai/ or https://www.phind.com/ and paste the whole question), check some links, and already have the answer. - Source: dev.to / 4 months ago
Finally (after 15 days), I have a potential interesting project: setting up a public directory to compile queries already made on perplexity.ai and voluntarily shared by the author with the "share" button. Visitors will have a search box to find stored queries related to their interests (I will use my own embedding database for this), and they can read part of the thread right there, inviting them to visit the... Source: 7 months ago
My choice has been to use more than one. Specifically, in my day-to-day work, I use: ChatGPT, Phind, Bard, and Perplexity. These guarantee a wide range of responses that I can assess each time. - Source: dev.to / 9 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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