A 9 million parameter language model can be trained in minutes on consumer hardware like Google Colab

There is a growing demand for autonomous driving systems that can adapt to individual user preferences and real-time instructions.

Performance improvements in AI applications are increasingly coming from system-level optimizations rather than just model improvements.

Designing reinforcement learning algorithms to handle model hallucinations.

There is a growing trend towards developing AI models that can handle high levels of adversarial activity.

Designing AI systems with a focus on interpretability and transparency, even if it means sacrificing some performance benefits.