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  • All of your data( data you create within the application, or any downloaded large language models and any data created by them) is processed and stored on your local computer.

    Any created data is stored in a single folder on your desktop for easy access

  • Large language models are useful because they make getting information and completing tasks easier and faster. They can help you write emails, come up with ideas, or answer questions you're curious about. They're like having a super knowledgeable assistant who's always available. You can use them for learning, solving problems, or just for fun conversations. They're especially handy because they can understand and communicate in a way that feels natural and human-like.

  • It depends on what you’re trying to do with the application. On our side, the only thing would be your login information which needs to be matched and recorded to an account. We need to do that to have a functioning log-in system. Besides that, some AI models like Llama 3 8.1 from Meta may require you to make a Hugging Face account which would share your information with them on their website. Python Pip also tracks how many people install the program which would be considered data leaving your computer, and other statistical information like what transformer models you are using.

  • Being connected to the internet is necessary for several things, such as downloading AI models off of the repository from inside of the application. When you install dependencies, the application will create a python virtual environment for specific AI models like text-to-speech and speech-to-text ones. It will also need to be connected to the internet when you want the app to check the web for you or any custom API integrations.

  • What can an LLM do for me? A Large Language Model is a type of artificial intelligence that is trained on large data sets in order to generate human like responses. LLMs can be used as a catch-all term for machine-learning artificial intelligence... though that isn't a perfectly accurate usage of the term. An actual Large Language Model is specifically the Transformers architecture. LLMs generate human-like by detecting patterns in the large amounts of data they were trained on. What does this mean for you? LLMs are great for analysis and organization. They're not just for creating sentences and being fun conversation partners, they can analyze documents, notes, records, give summaries of them. Predict future trends based on previous data. Essentially, they can make data easier to digest.

  • The answer to this is somewhat connected to what an LLM could do for you. A personal AI assistant can automate parts of your life to make it simpler. A personal AI assistant can give you summaries of long texts like PDF documents, it can regularly update and inform you of calendar events, it can automate responses to certain keywords in e-mails and send the e-mail itself. For example, you could automate deletion of emails in the spam folder. A personal AI assistant could also try to help you understand what complex texts you're reading mean. There are a lot of possibilities with a personal AI assistant which will increase as the technology improves.

  • AllAI is stored in primarily two places. The main AllAI folder on your desktop titled (TBD), and in your AppData folder.

  • No. With the way AllAI is currently set up it is not possible, but may be in future releases.

  • You will be able to uninstall your AI models in the (TBD) tab on the AllAI application. Screenshot attached below.

  • AllAI currently won’t tell the user that there is not enough storage space for downloading an AI model. In the backend this displays as “Error while serializing: IoError(Os { code: 112, kind: StorageFull, message: "There is not enough space on the disk." })”

  • For the most part, no, because AllAI is designed to be as simple to use as possible for the casual user. It depends on what you are trying to do of course, but AllAI will include pre-made prompts that we think would be commonly used for ease of use. Creating prompts would only require very little knowledge of programming at most and would be very easy to learn.

  • We do not create any of the AI models that AllAI uses. They are made by a variety of developers, such as Meta and Microsoft. The information will be provided in the LLM repository.

  • Yes, through the upcoming Multivendor Market system that we will implement in a future release.

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