First Principles of OCI Generative AI Service - Architecture and Implementation

First Principles of OCI Generative AI Service - Architecture and Implementation

Oracle via YouTube Direct link

- Gen AI in enterprise applications

5 of 18

5 of 18

- Gen AI in enterprise applications

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First Principles of OCI Generative AI Service - Architecture and Implementation

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  1. 1 - Intro to OCI Generative AI Service
  2. 2 - What are Generative AI Models?
  3. 3 - Transformer Model Architecture
  4. 4 - Encoder-Decoder Transformer Model
  5. 5 - Gen AI in enterprise applications
  6. 6 - Gen AI key to success
  7. 7 - Achieving high accuracy of LLM outputs
  8. 8 - Retrieval Augmented Generations
  9. 9 - Basic OCI Gen AI Workflow
  10. 10 - Dedicated GPU RDMA clusters
  11. 11 - Customer Data Privacy and Security
  12. 12 - Fine-Tuning the Models
  13. 13 - Efficient Fine-Tuning w/ T-Few
  14. 14 - How T-Few Fine-Tuning Works
  15. 15 - Inside the Transformer Layer
  16. 16 - OCI Gen AI's cost effective inferencing
  17. 17 - Packing many models in single GPU cluster
  18. 18 - Key Takeaways

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