No More Google
PrivacyAngel
DuckDuckGo
Naughty List
Brave Search
Brave
Nothing Private
DuckDuckGo Privacy App & Extension
Hugging Face
Replika
LangChain
Haystack NLP Framework
Mitsuku
Cleverbot.io
Kuki
Civitai
No More Google Hugging FaceBased on our record, Hugging Face seems to be a lot more popular than No More Google. While we know about 252 links to Hugging Face, we've tracked only 8 mentions of No More Google. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
A useful crowd-sourced resource for finding Google alternatives: https://nomoregoogle.com/. Source: about 1 year ago
My point is more to introduce alternatives to Google. They’ve proven they have little regard for the privacy of their users. Source: over 1 year ago
Https://nomoregoogle.com/ Privacy-friendly alternatives to Google that don't track you. Source: over 1 year ago
Each step you take to be more private helps. The simplest you can do is use less Big Tech products. For example, stop using Chrome and use Firefox instead, stop Google search and use Startpage or Duckduckgo, stop Google Maps and use OpenStreetMaps, stop GMail and use e.g. ProtonMail etcA larger list of alternatives is available at https://nomoregoogle.com/Then, you can start by using popular open-source software... Source: almost 2 years ago
Nomoregoogle.com provides a list of alternatives to get you started. 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 / 19 days ago
The only requirement for this tutorial is to have an Hugging Face account. In order to get it:. - Source: dev.to / 25 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 1 month ago
PrivacyAngel - FInd out how to protect your privacy across platforms 🕵
Replika - Your Ai friend
DuckDuckGo - The Internet privacy company that empowers you to seamlessly take control of your personal information online, without any tradeoffs.
LangChain - Framework for building applications with LLMs through composability
Naughty List - Tech companies that won't delete your information
Haystack NLP Framework - Haystack is an open source NLP framework to build applications with Transformer models and LLMs.
