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Hey buddy!! Met my first wife on love.aol.com (which became match.com) a quarter century ago. The Internet is older than you think. Source: 6 months ago
Remember that most popular dating apps are owned by match.com. They have a vested interested in you using the apps as long as possible. If you actually find a relationship they don't make any more money off you. Source: 6 months ago
I still don't know if she was really in need of help, because she was being sex trafficked or something by these people. I suspect it ever since coming back from Colombia, and hearing my translator tell me the woman on the phone thought she was a "prepago" or escort basically in Colombian slang. People who are escorts don't usually hide the fact that they are. Understand that these date.com websites.. Which they... Source: 6 months ago
Of course, everyone is sick of companies like match.com exploiting every possible option for outrageous subscription amounts. Dating sites filled with old and/or fake profiles, bots sending messages from fake users, and misleading claims about services. Fuck match and every low life company like them. Source: 7 months ago
Hugging-face 🤗 is a repository to host all the LLM models available in the world. https://huggingface.co/. - Source: dev.to / 5 days 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 / about 1 month ago
The only requirement for this tutorial is to have an Hugging Face account. In order to get it:. - Source: dev.to / about 1 month 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 2 months 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 2 months ago
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