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– Customizing Large Language Models
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Classroom Contents
Emerging Architectures for Large Language Model Applications - Building a Custom LLM Application
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- 1 – Introduction + Agenda
- 2 – Canonical Design Patterns
- 3 – Embeddings
- 4 – Vector Database, Storing and Indexing of Vectors, Vector Similarity
- 5 – Large Language Models
- 6 – Prompt Engineering
- 7 – Foundation Models
- 8 – Context Window and Token Limits
- 9 – Customizing Large Language Models
- 10 – Questions and Answers
