Large language models waste significant resources on inefficient key-value caching. Recent breakthroughs like DeepSeek's approach show substantial improvements are possible.
Provide implementation guides, code reviews, and custom optimization services for teams building transformer-based models.
AI startups pushing model limits would pay for expertise that reduces their cloud costs.
Begin by packaging existing research into actionable playbooks.
The risk is rapid obsolescence as new techniques emerge.