Advance Machine Learning | 15. Modern Topics – LLMs & Foundation Models by Abraham | Learn Smarter
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15. Modern Topics – LLMs & Foundation Models

Large Language Models (LLMs) and Foundation Models have transformed machine learning, especially in natural language processing, vision, and code generation. This chapter explores their architectures, training methods, applications, and ethical implications. Emphasizing the role of transformer architecture, it highlights both the potential and the challenges these models introduce in AI applications.

Sections

  • 15

    Modern Topics – Llms & Foundation Models

    This section explores Large Language Models (LLMs) and Foundation Models, highlighting their definitions, characteristics, training methods, capabilities, applications, and ethical considerations.

    Learning Practice

  • 15.1

    What Are Foundation Models?

    Foundation models are scalable, pre-trained models that serve as a base for varied downstream tasks in AI.

    Learning Practice

  • 15.2

    Introduction To Large Language Models (Llms)

    Large Language Models (LLMs) are advanced foundation models that leverage deep learning to understand and generate human language.

    Learning Practice

  • 15.3

    Transformer Architecture: The Engine Behind Llms

    The transformer architecture, which revolutionized natural language processing, is defined by its key components such as self-attention and positional encoding, allowing for efficient training of large-scale models.

    Learning Practice

  • 15.4

    Training Llms: Data, Objectives, And Scaling Laws

    This section explores how Large Language Models (LLMs) are trained using diverse data sources, specific training objectives, and scaling laws that govern their performance.

    Learning Practice

  • 15.5

    Risks, Limitations, And Ethical Concerns

    This section outlines the various risks and ethical concerns associated with the deployment of Large Language Models (LLMs) and Foundation Models.

    Learning Practice

References

AML ch15.pdf

Class Notes

Memorization

What we have learnt

  • Foundation models serve as ...
  • Transformer architecture is...
  • Ethical concerns include bi...

Final Test

Revision Tests