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03:13 Inputs and Outputs of Foundation Models
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Classroom Contents
Machine Learning for Advanced AI Search
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- 1 00:00 Introduction to Machine Learning for Advanced AI Search
- 2 00:32 Understanding Generative AI
- 3 01:47 Foundation Models Explained
- 4 03:13 Inputs and Outputs of Foundation Models
- 5 05:15 Customizing Foundation Models
- 6 08:57 Introduction to Vectors in Machine Learning
- 7 10:04 Vector Embeddings and Their Importance
- 8 11:23 Vector Stores and Databases
- 9 12:59 Exploring AWS Vector Data Stores
- 10 16:10 PostgreSQL and PG Vector for Vector Databases
- 11 19:01 PG Vector: Features and Use Cases
- 12 20:18 Querying with PG Vector
- 13 25:07 Summary and Conclusion
