Overall, this work contributes to the ongoing progress in bridging the gap between simulation and reality in the field of robotics, offering insights into the potential of Deep Reinforcement Learning for synthesizing sophisticated and adaptable robotic behaviors. - Source: dev.to / 2 months ago

That’s why I launched AIModels.fyi — a search engine for AI models. The site offers the ability to sort and pick the best-suited model for your project. Plus, it features a tag system for filtering models based on tasks (such as Text-to-Image or Image-to-Video) for a more focused search. - Source: dev.to / 3 months ago

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