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