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Fine-Tuning & Alignment · Awesome GitHub Repositories

3 repos

Awesome GitHub RepositoriesFine-Tuning & Alignment

Explore 3 awesome GitHub repositories matching artificial intelligence & ml · Fine-Tuning & Alignment. Refine with filters or upvote what's useful.

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Awesome Fine-Tuning & Alignment GitHub Repositories

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  • mlabonne/llm-course

    mlabonne/llm-course

    75,340GitHubView on GitHub↗

    This project is a comprehensive educational curriculum and engineering handbook focused on the lifecycle of large language models. It serves as a structured knowledge base for machine learning practitioners, covering the fundamental mathematical and architectural principles of transformer-based sequence modeling, as we

    courselarge-language-modelsllm
  • ultralytics/yolov5

    ultralytics/yolov5

    56,830GitHubView on GitHub↗

    YOLOv5 is a comprehensive computer vision framework designed for end-to-end deep learning, specializing in real-time object detection, image classification, and instance segmentation. It provides a unified toolkit that manages the entire lifecycle of a model, from initial dataset configuration and hyperparameter tuning

    Pythoncoremldeep-learningios
  • unslothai/unsloth

    unslothai/unsloth

    52,461GitHubView on GitHub↗

    Unsloth is a high-performance training and inference platform designed to optimize the lifecycle of large language and multimodal models. It provides a comprehensive engine for fine-tuning, executing, and managing models locally, with a focus on reducing memory consumption and increasing compute speed on consumer-grade

    Pythonagentdeepseekdeepseek-r1

Explore sub-tags

  • Fine-Tuning Frameworks3 sub-tagsTools and methods for adapting pre-trained models to specific domains or tasks, distinct from general training by their focus on weight adjustment rather than initial model creation.
  • Fine-Tuning StrategiesTechniques for adapting pre-trained models to specific domains or tasks through supervised learning or preference alignment.
  • Preference-Based Model AlignmentsTechniques for refining model behavior using human feedback or reward signals to optimize for safety and helpfulness.
Supervised Instruction Fine-Tuning
Techniques for adapting base models to specific task formats using curated input-output instruction datasets.