4.2 Difference with Discriminative Models

5.2 Representation and Complexity Reduction

6.2 Latent Variable Models

7.2 Model Training

8.2 Training

9.2 Data: Video + Market Prices

10.2 Scaling Large Language Models: High Performance, High Computational Cost, and Emergent Abilities

11.2 Combining Generative Model Variants

1.3 Data Formatting and Analysis

2.3 Searching for a Portfolio Optimization Algorithm Based on Machine Learning

3.3 Deep Reinforcement Learning

4.3 How Can We Use Them?

5.3 A Short Tour of Key Model Families

6.3 Examples of Traditional Latent Variable Models

7.3 Linear Flows

8.3 Some Theoretical Insight in GANs

9.3 Speech-to-text Conversion

10.3 Making FinBERT Faster

11.3 LLMs as Financial Advisors