What is Large Scale Generative AI?
Running generative AI algorithms at scale is increasingly challenging due to exponential growth in model size, data size, and demand.
MAIN POINTS FROM TRANSCRIPT
- Model sizes have grown from thousands to trillions of parameters, requiring specialized hardware.
- Data size is increasing rapidly, with synthetic data expected to surpass real-world data by 2030.
- Demand for AI models is skyrocketing, exemplified by ChatGPT's rapid user growth.
TAKEAWAYS
- Specialized hardware is essential for training and running large AI models.
- Synthetic data will become more prevalent as real-world data becomes insufficient.
- AI models are becoming integral to daily life, necessitating scalable compute solutions.