FedRAMP ensures that cloud service providers (CSPs) meet strict cybersecurity requirements based on National Institute of Standards and Technology (NIST) standards . The program's goal is to protect federal data, reduce duplication of security efforts, and streamline cloud adoption across agencies. The Federal Risk and Authorization Management Program (FedRAMP) is a governmentwide program that provides a standardized approach to security assessment, authorization, and continuous monitoring for cloud products and services.

Sovereign AI refers to the creation, deployment, and governance of artificial intelligence systems within frameworks that prioritize data sovereignty, regulatory compliance, and infrastructure control. In the hosting context, Sovereign AI helps keep sensitive data from leaving a controlled environment, or from being accessed by people without the proper credentials.

Open source software is developed in a decentralized and collaborative way, relying on peer review and community production. Open source software is often cheaper, more flexible, and has more longevity than its proprietary peers because it is developed by communities rather than a single author or company. Source: Red Hat For an in-depth explaination, please visit the Open Source Initiative ®

What documents can I upload?

The more complex the file, the more processing power it requires. To be more economical, we suggest pre-processing files and saving their text content to a “.txt” file. For instance, if you have a PDF or Word file that only contains text, open it, copy all txt ([CTRL] + a in Windows or [CMD] + a in Mac) Then, create a text (e.g., .txt or .rtf) file. [TODO: add instructions] – Text – Markdown – PDF – Powerpoint – CSV – Word – Audio – Video You can also create API-based brains that will draw data from another app’s API.

What if my chat response gets cut off?

A chat response may get cut off for several reasons: Internet connectivity Make sure your connection works. Token limit reached Simplify the prompt or break it down into smaller chunks. Try asking for a "summary" first, to capture key pointsm before expanding further. This may allow you to work on smaller chunks at a time, making it less likely to reach a max token limit. If the above do not work, let the administrator know. They may be able to adjust max limits, other pertinent settings, and advise you on which LLM may be best suited to your query while also preventing a token limit issue.

Temperature: what does it mean for AI models?

Imagine you’re telling a story with a friend who helps decide what happens next. The "temperature" setting controls how *wild or predictable* your friend’s ideas are. Low Temperature (like 0.1): Your friend only suggests things that are super obvious or safe, like “then the hero wins easily.” It’s boring but makes total sense—no surprises! This is the temperature you would use for scientific data or any kind of research that should be only fact-based and unbiased. Use Case: This is a good choice when dry, clinical responses are required. for instance when doing legal research or when analyzing financial or medical data. Medium Temperature (like 0.7): Your friend balances ideas—they might say, “the hero uses a cool trick to win!” It’s creative but still logical. This is what most people use because it’s just right. Use Case: Most people use this for emails or ideas—they want something smart but not too crazy. High Temperature (like 1.5+): Your friend starts getting *weirdly creative*—they might suggest the hero fights a giant marshmallow or suddenly turns into a cat. The story becomes fun but might not make much sense anymore. Use Case: Artists or game designers might use this for fun, weird ideas—but then they’ll clean up the nonsense later. Think of temperature like a volume knob for creativity: turn it down for safety, crank it up for crazy ideas (but expect some nonsense). Use this to decide how “silly” or “smart” an AI should act. Temperature Range: The typical temperature range for AI models is between 0 and 2 . Minimum: Technically , it can’t be 0 because of calculation issues (dividing by zero). In practice, it’s often set to a very low value like 0.1 or slightly above , which makes the model pick the most likely choice almost every time. Maximum: The upper limit is usually 2 , beyond which outputs may become too random or nonsensical. For most users, setting temperatures between 0.1 and 2 works well: 0.1 : Predictable & safe 0.7 : Balanced (creative but logical) 1 : Default “standard” randomness 2 : Very creative (or chaotic)

FAQs Archive - Modular Technology Group

FedRAMP
FedRAMP ensures that cloud service providers (CSPs) meet strict cybersecurity requirements [Read more...]

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Sovereign AI
Sovereign AI refers to the creation, deployment, and governance of [Read more...]

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Open-source
Open source software is developed in a decentralized and collaborative [Read more...]

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What documents can I upload?
The more complex the file, the more processing power it [Read more...]

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What if my chat response gets cut off?
A chat response may get cut off for several reasons: [Read more...]

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Temperature: what does it mean for AI models?
Imagine you’re telling a story with a friend who helps [Read more...]

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