Autonomous Art VS Hugging Face

Hello everyone! My name is Daniel and I’m building interactiveNFT, which is an NFT dApp that lets users own a timestamp of their favorite YouTube video as an NFT by adding a comment on top of the video. I’ve designed the rewards system so that as a token holder, you receive a portion of the next commenter’s minting price. Essentially, you get paid whenever someone comments on the video after you! A portion of the... Source: about 2 years ago

Hey everyone! My name is Daniel and I built interactiveNFT, which is an NFT platform that lets you own a timestamp of your favorite YouTube video as an NFT by adding a comment on top of the video. As a holder of the comment NFT, you get paid a portion of the next commenter's minting price. Essentially, the rewards system is designed so that you get paid whenever someone comments on the video after you! The rewards... Source: about 2 years ago

And as I thought about how to create an NFT that provides concrete utility/benefit to the holders, I came across Autonomous Art, which is an NFT dApp that the founder of Signal created. Autonomous Art is a collective art piece that lets anybody draw on it and lock in their contribution by minting it as an NFT. The cool thing about this product is that the price to mint your contribution as an NFT increases anytime... Source: about 2 years ago

I am developing an NFT tool that allows users to mint NFTs from youtube clips and put them into montage collections for all to view. Users can also create montages and set the cost for new NFTs to join. The minting price that new users pay to add to a montage will be divided amongst the NFT's already in the montage. As others add onto the montage, your NFT starts to get Ethereum added to it. This idea sprung from... Source: about 2 years ago

You can click on each of the transactions and view all the iterations of the artwork Https://autonomous.graphics. Source: over 2 years ago

HuggingFaceEmbeddings is a function that we use for converting our documents to vector which is called embedding, you can use any embedding model from huggingface, it will load the model on your local computer and create embeddings(you can use external api/service to create embeddings), then we just pass this to context and create index and store them into folder so we can reuse them and don't need to recalculate it. - Source: dev.to / 23 days ago

The only requirement for this tutorial is to have an Hugging Face account. In order to get it:. - Source: dev.to / 29 days ago

Finally, you'll need to download a compatible language model and copy it to the ~/llama.cpp/models directory. Head over to Hugging Face and search for a GGUF-formatted model that fits within your device's available RAM. I'd recommend starting with TinyLlama-1.1B. - Source: dev.to / about 1 month ago

At this point, probably everyone has heard about OpenAI, GPT-4, Claude or any of the popular Large Language Models (LLMs). However, using these LLMs in a production environment can be expensive or nondeterministic regarding its results. I guess that is the downside of being good at everything; you could be better at performing one specific task. This is where HuggingFace can utilized. HuggingFace provides... - Source: dev.to / about 1 month ago

New models can be added by downloading GGUF format models to the models sub-directory from https://huggingface.co/. - Source: dev.to / about 2 months ago