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LLMs: Fine-tuning and Alignment

40 hoursAdvanced5 modules

3 of 5 modules with a published syllabus

0 of 5 modules recorded

Syllabus

Concentrates the advanced core of the shared trunk — the Transformer architecture with attention implemented from scratch, fine-tuning and transfer learning with LoRA/QLoRA, and training optimisation with mixed precision and schedulers — and adds the two level-300 modules of the NLP area: fine-tuning LLMs in practice, and alignment (RLHF/DPO).

Modules of this programme

The same objects as the full curriculum. A module opened from any programme that contains it is the same module, with the same syllabus and the same status.

  • CORE-301Syllabus published

    The Transformer architecture

    Content
    Attention, embeddings, positional encoding, encoder/decoder
    Hands-on
    Implement attention from scratch and visualise it

    estimated price0 of 1 module published

  • CORE-302Syllabus published

    Fine-tuning and transfer learning

    Content
    LoRA/QLoRA, layer freezing, datasets
    Hands-on
    Fine-tune an open-source model

    estimated price0 of 1 module published

  • CORE-303Syllabus published

    Training optimisation

    Content
    Mixed precision, schedulers, distributed basics
    Hands-on
    Make a training run 3× faster

    estimated price0 of 1 module published

  • NLP-301Syllabus published

    Fine-tuning LLMs in practice

    Detailed syllabus not written yet

  • NLP-302Syllabus published

    Alignment (RLHF/DPO — fundamentals)

    Detailed syllabus not written yet

Not everything fits into 40 hours. State of the art, distributed training, interpretability, edge deployment and the five integrative projects exist only inside the complete tracks: Tracks