Leveraging LLMs for Advanced AI Applications

Leveraging LLMs for Advanced AI Applications

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hosting models - aws sagemaker studio

12 of 23

12 of 23

hosting models - aws sagemaker studio

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Leveraging LLMs for Advanced AI Applications

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  1. 1 intro
  2. 2 preamble
  3. 3 agenda
  4. 4 understanding large language models
  5. 5 transformer architecture
  6. 6 pre-trained parameters
  7. 7 fine tuning
  8. 8 how can i leverage large language models llms?
  9. 9 using pre-trained models via api integration
  10. 10 using pre-trained models via playgrounds
  11. 11 hosting models - hugging face model hub
  12. 12 hosting models - aws sagemaker studio
  13. 13 deploy custom/fine tuned models
  14. 14 limitations of standalone llms
  15. 15 introducing retrieval-augmented generation rag
  16. 16 implementation steps for rag
  17. 17 cost concerns and reduction strategies for llms
  18. 18 cost reduction strategies
  19. 19 improvisation of llms
  20. 20 leveraging llms as a software engineer and tech professional
  21. 21 leveraging llm in infringement detection
  22. 22 real world examples
  23. 23 thank you

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