Posted 3/13/2024, 6:30:00 PM
OpenAI Explores Using Quantum Computing to Streamline AI Model Training
- Quantum computing could help streamline and optimize AI model training to allow for more capable models without increasing parameter count
- Quantum optimization algorithms may help determine the most important features to include when training a model
- Quantum sampling could potentially be used to improve how AI models like LLMs generate text
- Quantum processors could potentially offload graph-structured data sets used in neural networks
- The new OpenAI hire's expertise in silicon photonics suggests OpenAI could be exploring optical interconnects to link multiple accelerators to support larger AI models