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large language model,
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large language model,
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handbook,
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handbook,
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# Common Jan Questions
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> `We get a lot of questions about Jan (and why wouldn’t we, she’s pretty interesting!). Some key points if you’re looking for help- please note your build and OS!`
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* Read this FAQ
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* Read our [Docs](https://https://jan.ai/docs/)
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* Search our [Discord](https://https://discord.gg/z9Z8hdNdvN)
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* If you can’t find an answer- create a post in “get help”
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**Whats the best model for ____?**
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**Will Jan choose the best model for me?**
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[Soon! ](https://discord.com/channels/1107178041848909847/1193811810332184606/1193814713264521226)We get asked a lot what the “best model” is. Depending on your goals- there’s a model that will fit best.
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Check out our descriptions in the Model Hub
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**Does the size of a model improve accuracy?**
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No, the accuracy is determined by the quantize version
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Can I set a custom path for models? / Can I install in different folders?
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Sort of- [you can create a symbolic link
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](https://discord.com/channels/1107178041848909847/1110389363809976361/1193919109180706866)Can I use the local LLMs in Jan like Copilot/ChatGPT in VSCode?
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Yes! [See here](https://github.com/continuedev/continue) about using Continue and [Jan’s server](https://jan.ai/guides/using-server/server/)
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Can I use Jan Desktop as a second brain?
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You sure can. [RAG is on the way](https://github.com/janhq/jan/issues/1076). You can also do do fine-tuning/LoRAs.
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How is Jan different from other competitors?
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Can I set up my remote server with Jan and use Jan on my phone or tablet?
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You can! Here’s [how we integrate with remote servers](https://jan.ai/guides/using-models/integrate-with-remote-server/)
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Can I report a bug!
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Yup! Please do check our Discord to see if we’re currently working on it (reducing duplication)
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What’s a nightly build?
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How can I benchmark models in Jan?
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Can I download Jan, host it and white label it?
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When will my GPU be used?
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Jan will use your GPU when the model is loaded. If you unload the model there’s no use afterwards.
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What makes Jan unique in AI and productivity?
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Jan specialises in open-source GPT and offline local AI, making advanced AI technology accessible and reliable for a variety of uses.
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What are Jan's Model Training objectives?
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Our goal is to develop LLMs that are not only theoretically impressive but also provide practical productivity enhancements and are tailored to specific industries.
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How is Jan impacting education and healthcare with AI?
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Jan is developing domain-specific LLMs to revolutionise education and healthcare, providing expert-level assistance in these key sectors.
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** What distinguishes Jan's approach to AI development?**
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Jan's commitment to open-source and offline local AI ensures our technology is not just advanced but also practical and accessible for diverse applications.
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**
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---
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---
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