Chapters
Transcript
Episode notes
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17
Introduction
00:00 • 4min
How to Use GraphQL to Target Nodes in a Data Model
04:18 • 2min
GraphQL: A Visualization of Vector Search
06:45 • 3min
The Neuro-Symbolic System of Search Engines
09:55 • 3min
How to Use Serendipity to Your Benefit
12:58 • 3min
The Serendipity of Biasing Nearest Neural Networks
16:13 • 5min
The Benefits of Hugging Face Models for Information Retrieval
21:07 • 5min
The Trend in the Use of General Purpose Models
26:11 • 2min
The Relationship Between Pre-Trained Models and Fine Tuning Models
28:09 • 4min
How to Fine Tune a VNL Adapter to Improve Performance
32:12 • 4min
The Evolution of Wikipedia Data and Wiki Data
36:11 • 4min
The Power of Graph Embeddings
40:03 • 3min
How to Combine Wiki Data and Wikipedia Text Embeddings
43:21 • 3min
The Future of Multimodal Learning
46:39 • 5min
The Future of Precision Medicine
51:21 • 4min
The Future of Semantics
55:26 • 3min
The Power of Hugging Face Spaces
58:10 • 2min