Recall & Review
beginner
What does 'self-hosted LLM' mean?
A self-hosted LLM is a large language model that you run on your own computer or server instead of using a cloud service. It gives you full control over the model and data.
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beginner
Name two popular self-hosted LLMs.
Two popular self-hosted LLMs are LLaMA and Mistral. They are open models you can run locally or on your own servers.
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intermediate
Why might someone choose to use a self-hosted LLM like Llama or Mistral?
People use self-hosted LLMs to keep data private, avoid cloud costs, customize models, and have faster access without internet delays.
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intermediate
What is a key challenge when running self-hosted LLMs?
A key challenge is needing powerful hardware like GPUs and enough memory to run large models efficiently.
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advanced
How do Llama and Mistral differ in their design or use?
LLaMA models focus on being efficient and open for research, while Mistral models aim for high performance with fewer parameters, making them faster and lighter.
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What is a main advantage of self-hosting an LLM?
✗ Incorrect
Self-hosting gives you full control over your data and the model, unlike cloud services.
Which hardware is usually needed to run self-hosted LLMs efficiently?
✗ Incorrect
Large language models require powerful GPUs and enough memory to run well.
Llama and Mistral are examples of what kind of models?
✗ Incorrect
LLaMA and Mistral are self-hosted large language models.
Which is NOT a reason to use a self-hosted LLM?
✗ Incorrect
Self-hosted LLMs require hardware, so 'no hardware requirements' is incorrect.
Mistral models are designed to be:
✗ Incorrect
Mistral models focus on being lightweight and fast for better performance.
Explain what a self-hosted LLM is and why someone might want to use one.
Think about running the model on your own computer instead of online.
You got /2 concepts.
Compare Llama and Mistral models in terms of their design goals and typical use cases.
Focus on what makes each model special.
You got /3 concepts.