Update README.md

README.md

@@ -23,16 +23,26 @@ and platforms, such as OpenAI's GPTs, Llama, Stable Diffusion, and Hugging Face,
 students to work on exercises and projects
 
 Some of the topics that will be covered in the course include:
-• Deep Generative Models
-• Variational Autoencoders (VAEs)
-• Generative Adversarial Networks (GANs)
-• Autoregressive Models and Energy-based Models
-• Transformers and Text Generation
-• Diffusion Models and Image Generation
-• Pre-training and Fine-tuning
-• Retrieval Augmented Generation (RAG)
-• Ethics and Safety in GenAI
-• Red Teaming GenAI Models
+
+* Deep Generative Models
+  
+* Variational Autoencoders (VAEs)
+  
+* Generative Adversarial Networks (GANs)
+  
+* Autoregressive Models and Energy-based Models
+  
+* Transformers and Text Generation
+  
+* Diffusion Models and Image Generation
+  
+* Pre-training and Fine-tuning
+  
+* Retrieval Augmented Generation (RAG)
+  
+* Ethics and Safety in GenAI
+  
+* Red Teaming GenAI Models
 
 This course is designed for students with a background in technology, business, policy, management,
 or related fields who aspire to become proficient in GenAI technologies. We will combine lectures,