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Oumipedia

Your reference for building specialized AI: what the concepts mean and how the options compare.

13 of 13 entries

  • Explainer

    What Is Fine-Tuning?

    3 min read
    Fine-tuning trains an existing LLM on your own examples so it does one task better. Learn how LLM fine-tuning works, when to use it and its limits.

    Read: What Is Fine-Tuning?
  • Explainer

    What Is Custom Fine-Tuning?

    5 min read
    Custom fine-tuning trains an open model on your company's data for one task. Learn what it takes, what it costs and how it compares to prompting.

    Read: What Is Custom Fine-Tuning?
  • Comparison

    RAG vs. Fine-Tuning: Which Should You Use?

    10 min read
    RAG looks facts up at answer time. Fine-tuning teaches a model a behavior. See when to use RAG vs. fine-tuning, with a decision matrix and an example.

    Read: RAG vs. Fine-Tuning: Which Should You Use?
  • Comparison

    LoRA vs. QLoRA vs. Full Fine-Tuning: How to Choose

    9 min read
    LoRA vs. QLoRA vs. full fine-tuning: how each method works, how to choose one, and what each choice means when you deploy the model.

    Read: LoRA vs. QLoRA vs. Full Fine-Tuning: How to Choose
  • Explainer

    What is Qwen?

    Models · Profile · Alibaba Cloud
    Qwen is Alibaba Cloud’s open-weight model family. It spans small models that are practical to fine-tune through larger mixture-of-experts releases.

    Read: What is Qwen?
  • Explainer

    What is DeepSeek?

    Models · Profile · DeepSeek
    DeepSeek publishes open-weight language models, including large mixture-of-experts systems. The family is often shortlisted where reasoning and coding matter.

    Read: What is DeepSeek?
  • Explainer

    What is Llama?

    Models · Profile · Meta
    Llama is Meta’s open-weight model family. Its wide ecosystem makes it a familiar baseline for teams evaluating or fine-tuning their first custom model.

    Read: What is Llama?
  • Explainer

    What is Mistral?

    Models · Profile · Mistral AI
    Mistral is a European model family spanning open-weight and commercial releases. The right starting point depends on the exact release and deployment constraints.

    Read: What is Mistral?
  • Explainer

    What is Gemma?

    Models · Profile · Google
    Gemma is Google’s open-weight model family. It includes compact checkpoints that can be useful when hardware limits and deployment footprint drive the decision.

    Read: What is Gemma?
  • Comparison

    Qwen vs. DeepSeek

    Models · Comparison
    Are you optimizing for a smaller model you can specialize, or a larger reasoning and coding candidate?

    Read: Qwen vs. DeepSeek
  • Comparison

    Qwen vs. Llama

    Models · Comparison
    Does your task evaluation favor the Qwen family or the Llama ecosystem and license fit?

    Read: Qwen vs. Llama
  • Comparison

    What is the best open-source LLM?

    Models · Selection guide
    There is no universal winner. Pick a model family, then evaluate the exact checkpoint against your real task, output contract, deployment budget, and license constraints.

    Read: What is the best open-source LLM?

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Questions about Oumipedia

  • What is Oumipedia?

    Oumipedia is Oumi’s reference for building specialized AI: plain explanations of the core concepts, and side-by-side comparisons of methods and models.

  • Where are model profiles?

    Here in Oumipedia. Each open-weight model family Oumi supports has a profile, next to the comparisons between them.

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