The company [0] I work for gave a talk on this [1]. We're going a bit beyond analyzing logs because we have more contextual information about running software so we can compare different application state over time and infer whether it appears the application is experiencing an "incident". 0. https://noop.dev 1. https://www.youtube.com/watch?v=PxZx71xfIl8. - Source: Hacker News / 15 days ago

If I understand correctly, the benefit of using this over something like Compose is the parity with production. In my experience Compose is great for local development, but doesn't hold up well for complex architectures in production. I work for a company [0] building something similar, but mostly agnostic to programming language. One thing I particularly like about the approach is the reduction of time debugging... - Source: Hacker News / about 1 month ago

We are building an application/infra platform, Noop [0], it's multi-repo, one key benefit is it facilitates the deployment of different system components with greater isolation. That said, I'm a big fan of mono-repo. Noop actually supports developing mono-repos in a really interesting way. Here's an example [1] Vue + Node backend in one app. It should be pretty straightforward to see how you might be able to... - Source: Hacker News / about 1 month ago

Have you considered using a provider that might help eliminate some of the operational burden of running your apps? At a very high level, when using the big 3 and hosting that's raw infra you're going to find ways to pay for _keeping things running smoothly_. At least the big three have happy paths to avoid some of the operational burden (hidden among many many foot guns). Full disclosure I work at noop.dev [1], a... - Source: Hacker News / about 2 months ago

Disclosure I work for a company, Noop [1], which is the picture of the steak. As someone working on the marketing side of the endeavor, I see the shift the author describes. There are a handful of PaaS companies picking up where Heroku left off and in the enterprise world devops is evolving toward "platform engineering". Platform engineering suffers from being poorly defined, but there appears to be growing demand... - Source: Hacker News / 3 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