The Digital well being app really restricts your app use once you set it in the app's "focus mode" function. Try this too. Source: about 1 year ago

Yes it is called Digital wellbeing. You can set app timers, screen time goals, and focus mode. Per checking there is also Focus, Scheduled summary and app limits on IOS. Source: over 2 years ago

> It's all about which company can screw the other out of engagement and eyeballs. You could argue that Apple is acquiring users who they then lock in, sell to advertisers and developers (for a 30% cut on the App store) and monetize with service subscriptions, but you can also argue that half of Apple's profit is still from hardware sales, and apps and services are a big reason for buying that hardware. And Google... - Source: Hacker News / almost 3 years ago

If you have an Android phone think about installing some of Google's wellness apps -. https://wellbeing.google/. Source: about 3 years ago

Hugging Face is a company and community platform making AI accessible through open-source tools, libraries, and models. It is most notable for its transformers Python library, built for natural language processing applications. This library provides developers a way to integrate ML models hosted on Hugging Face into their projects and build comprehensive ML pipelines. - Source: dev.to / 8 days ago

We will use the OpenAI embeddings API to convert the content of the blog posts into vector embeddings. You will need to sign up for an API key on the OpenAI website to use the API. You will need to provide your credit card information as there is a cost associated with using the API. You can review the pricing on the OpenAI website. There are alternatives to generate embeddings. Hugging Face provides... - Source: dev.to / 7 days ago

Hugging-face 🤗 is a repository to host all the LLM models available in the world. https://huggingface.co/. - Source: dev.to / 15 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 2 months ago