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a smol course

by Hugging Face

A free course on post-training and fine-tuning small language models, including instruction tuning, preference alignment and evaluation.

Cost

Free

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Details

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The course covers instruction tuning, supervised fine-tuning, preference alignment such as DPO, evaluation, vision language models, reinforcement learning and synthetic data, using TRL and Transformers. Each of its seven topics is planned as about one week at 3 to 4 hours. It is free, with a fundamentals certificate for Unit 1 and a certificate of completion for finishing all units and a final project.

Format
Self-paced
Level
Intermediate
Duration
7 weeks · 3.5 h/wk
Credential
Certificate
Prerequisites
Python and machine learning fundamentals, PyTorch or similar framework experience, and basic knowledge of transformers and LLMs.

Cost

  • Free

    Basis:
    Free

    Checked by AI Training FinderUpdated Source

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