AI Snips
Chapters
Transcript
Episode notes
Early AI Landscape
- In 2003, computers were not expected to learn, with Deep Blue's chess playing as a major achievement.
- Ilya Sutskever, however, was interested in machine learning, recognizing its importance despite its limitations at the time.
Neural Network Potential
- Training a large, deep neural network on a substantial dataset will inevitably lead to success.
- This is based on the premise that the human brain, a neural network, can perform complex tasks, so similar networks should also be capable.
GPT and Transformers
- Ilya Sutskever recognized the potential of transformers immediately after the "attention is all you need" paper was published.
- OpenAI quickly switched to transformers, leading to the development of GPT-3.