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