03 Jun Diffusion models are one of the most influential generative modeling techniques for image generation and, across many benchmarks, they outperform state-of-the-
Q1# Discssuion
Diffusion models are one of the most influential generative modeling techniques for image generation and, across many benchmarks, they outperform state-of-the-art GANs.
- Explain your opinion on the reasons for the popularity of diffusion models.
- What is the real difference between diffusion models and GANs?
Q2# Test 1: ChatGPT Training
ChatGPT is a tool that allows users to interact with their suite of large language models through a conversational interface. Describe the training process for ChatGPT and suggest which tool/network would you use for each part of the training process and justify your suggestion:
- Supervised fine-tuning / training tool / explanation
- Reward modeling / training tool / explanation
- Reinforcement learning / training tool / explanation
Need by Monday evening
Discussion 3: diffusion models (500 to 600 words)
Diffusion models are one of the most influential generative modeling techniques for image generation and, across many benchmarks, they outperform state-of-the-art GANs.
1. Explain your opinion on the reasons for the popularity of diffusion models.
2. What is the real difference between diffusion models and GANs?
Test 1: ChatGPT Training
ChatGPT is a tool that allows users to interact with their suite of large language models through a conversational interface. Describe the training process for ChatGPT and suggest which tool/network would you use for each part of the training process and justify your suggestion:
1. Supervised fine-tuning / training tool / explanation
2. Reward modeling / training tool / explanation
3. Reinforcement learning / training tool / explanation
