Where are LLMs heading?

Large Language Models (LLMs) Concepts

Vidhi Chugh

AI strategist and ethicist

Journey so far

Basics of LLMs

Large Language Models (LLMs) Concepts

Journey so far

LLMs applications in NLP

Large Language Models (LLMs) Concepts

Journey so far

Training processes involving data consideration, ethics, and environmental impact

Large Language Models (LLMs) Concepts

Journey so far

Future of LLMs

Large Language Models (LLMs) Concepts

Model explainability

 

  • How do they arrive at their outputs?

 

  • Road-trip planning
    • Why this particular route?
    • Why these specific spots?

 

  • Builds trust and transparency
  • Identify and correct the biases or errors

 

Trust and explainability

1 Freepik
Large Language Models (LLMs) Concepts

Efficiency

  • Computational efficiency

    • High-quality output with less compute

  • Faster and efficient

    • Model compression
    • Optimization

  • Benefits: better storage, lower energy use

  • Accessibility and sustainability

    • Promotes green AI
    • Reduces operating costs

Efficiency

1 Freepik
Large Language Models (LLMs) Concepts

Unsupervised bias handling

  • Biased data -> discrimination

  • Unsupervised bias handling

    • Bias detection and mitigation techniques, automatically
    • No need of explicit human-labeled data
    • Identifies and reduces by analyzing patterns

  • Challenge

    • Subtle, difficult to detect
    • Might introduce new biases

Supervision

Large Language Models (LLMs) Concepts

Enhanced creativity

  • Creativity in text-based and visual art forms
  • Artistic content: learned patterns, not emotional understanding
  • Lack human-like comprehension of art or emotions
  • Demonstrate human-like emotional behavior
  • Future: emotion inference

Four images generated by AI

1 https://arxiv.org/pdf/2302.09582.pdf
Large Language Models (LLMs) Concepts

Let's practice!

Large Language Models (LLMs) Concepts

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