The journey of LLMs

Large Language Models for Business

Iason Prassides

Content Developer, DataCamp

From humble beginnings

  • Humble beginnings as text-based algorithms
  • Transformative force driving businesses
  • Older technology couldn't understand human language
  • Technology improved:
    • Could computers understand language like humans?

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Large Language Models for Business

Early LLM models

Robot hand typing on a laptop keyboard

  • Creation of first LLMs in 2017
    • Basic, but promising
    • Worked for simple language patterns
  • Continued LLM development
    • Understand sentence context
    • More precise outputs
  • Useful for answering customer questions or business insights
Large Language Models for Business

Move quickly, but sustainably

  • Businesses require fast and effective tools
  • Drive to make LLMs faster and use less energy
    • Saves businesses money

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Large Language Models for Business

Challenges

  • Interactions with web data led to issues
    • Biases
    • Accuracy
  • AI community aimed to solve these challenges
  • Ensure LLMs use valuable information responsibly

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Large Language Models for Business

Entering the arts

  • LLMs entering the creative industries
  • Usage in art, music, and literature
  • They lack human emotions - only see patterns
  • Projects to make them understand feelings better

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Large Language Models for Business

New opportunities

  • LLMs constantly changing and improving
  • New opportunities for businesses

 

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Large Language Models for Business

Let's practice!

Large Language Models for Business

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