Operational Excellence for LLMs Using Amazon Bedrock - Conf42 LLMs 2024

Operational Excellence for LLMs Using Amazon Bedrock - Conf42 LLMs 2024

Conf42 via YouTube Direct link

llm selection criteria

10 of 26

10 of 26

llm selection criteria

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Operational Excellence for LLMs Using Amazon Bedrock - Conf42 LLMs 2024

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  1. 1 intro
  2. 2 preamble
  3. 3 agenda
  4. 4 what is operation excellence?
  5. 5 what are the design principles?
  6. 6 devops v/s mlops v/s llmops
  7. 7 people, process and technology
  8. 8 model lifecycle
  9. 9 llmops can be different for each type of users
  10. 10 llm selection criteria
  11. 11 comparison of llm customizations
  12. 12 customizing model responses for your business
  13. 13 amazon bedrock
  14. 14 knowledge bases for amazon bedrock
  15. 15 privately customize models with your data
  16. 16 amazon bedrock api with amazon api gateway
  17. 17 amazon api gateway models
  18. 18 aws lambda invokin amazon bedrock api
  19. 19 amazon bedrock api from a generic application
  20. 20 using aws sdk
  21. 21 invocation logging
  22. 22 metrics
  23. 23 model evaluation
  24. 24 building generative apps brings new challenges
  25. 25 using nvidia/nemo-guardrails
  26. 26 amazon bedrock examples

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