Mercury offers banking* for startups — at any size or stage. With an intuitive product experience, founders can access free checking and savings accounts, debit and credit cards, domestic and international wire transfers, Treasury, venture debt, and more — and manage their business with confidence. Mercury also offers vibrant community programs that provide founders with the connections, advice, and resources to help them build the next great companies. Launched in 2019, Mercury is trusted by more than 100,000 startups. To learn more, visit Mercury.com.
*Mercury is a financial technology company, not a bank. All banking services provided by Choice Financial Group and Evolve Bank & Trust®; Members FDIC.
The best in the market for helping US non-residents get a checking bank account for their US companies. Mercury's secure experience takes founders to another level in their global journey.
Based on our record, Mercury should be more popular than MiniGPT-4. It has been mentiond 34 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.
Not just a fintech front for a privacy dis-respecting bank (like Mercury business banking for example). Source: 7 months ago
Mercury (https://mercury.com/) uses Haskell extensively for pretty much all of its backend systems. It’s a great general purpose language. - Source: Hacker News / 11 months ago
He claims it's totally legal https://mercury.com/. Source: about 1 year ago
I had Mercury recommended because of their ease of sending wires. However, NFCU doesn't play nice with Plaid and so there's no way to do a large external pull from Mercury to NFCU in order to get around the $5,000/day, $15,000/week limit. Source: about 1 year ago
Now, Mercury makes it possible to open a bank account 100% online from the comfort of your couch. It takes just minutes to sign up on their easy-to-use platform, and you can do so from almost anywhere in the world. Source: over 1 year 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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