2023/03/08: Disffusion Models Course, LM vs Thinking 등

1. Hugging Face Diffusion Models Course

source: https://github.com/huggingface/diffusion-models-class?fbclid=IwAR0ASAMOhtSKY3tyG7NfY5eIUEJCoG1TNkDduL1qpQgq4ifpP5qdWwZxgfI

• Free Course (Sign-up 필요함)
  • 👩‍🎓 Study the theory behind diffusion models
  • 🧨 Learn how to generate images and audio with the popular 🤗 Diffusers library
  • 🏋️‍♂️ Train your own diffusion models from scratch
  • 📻 Fine-tune existing diffusion models on new datasets
  • 🗺 Explore conditional generation and guidance
  • 🧑‍🔬 Create your own custom diffusion model pipelines

2. NLU & NLG Should Go Hand-In-Hand

source: https://cobusgreyling.medium.com/nlu-nlg-should-go-hand-in-hand-8cc7952ebab8

• Foundation LLM을 사용하여 기존 NLU 투자를 활용하고 챗봇 경험을 개선하는 방법을 제시함

3. What's the big deal with Generative AI? Is it the future or the present?

source: https://txt.cohere.ai/generative-ai-future-or-present/

• Transformer illustrated로 유명한 Jay Alammar
• 생성 AI의 현재 상태를 소개하고 이에 접근하는 방법을 간략하게 설명

4. The Difference Between Speaking and Thinking

source: https://www.theatlantic.com/technology/archive/2023/01/chatgpt-ai-language-human-computer-grammar-logic/672902/

5. Language != Thinking

source: https://medium.com/mlearning-ai/language-thinking-362fb1eee0c2

6. Large Language Models and Two Modes of Human Thinking

source: https://towardsdatascience.com/large-language-models-and-two-modes-of-human-thinking-1322160755e8