Cheat.sh [0] has been a godsend when the man pages are too dense and I just want to use the tool and move on with my life. [0] http://cheat.sh/. - Source: Hacker News / 7 months ago

I like what you're doing with this, never used cheat.sh before but had a little look around and great idea :) I've not tested everything, I seen something about find and thought I could help. Source: about 1 year ago

Query http://cheat.sh for help with a command. Source: about 1 year ago

Try cheat.sh perfect when your in the shell, working. Source: about 1 year ago

There is also the awesome resource - cheat.sh where you can get info about many programming languages, for example, to get info about PowerShell's Get-ChildItem command you can just issue a command curl cheat.sh/powershell/Get-ChildItem in your terminal or go to https://cht.sh/powershell/Get-ChildItem in your browser and get the following output:. 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