YuriiFormer: A Suite of Nesterov-Accelerated Transformers
YuriiFormer: A Suite of Nesterov-Accelerated Transformers explores Develop a Nesterov-accelerated transformer architecture that enhances performance over existing models using optimization-theoretic insights.. Commercial viability score: 5/10 in LLM Training.
BUILDER'S SANDBOX
Build This Paper
Use an AI coding agent to implement this research.
OpenAI CodexAI Agent
Lightweight coding agent in your terminal.
Claude CodeAI Agent
Agentic coding tool for terminal workflows.
AntiGravity IDEScaffolding
AI agent mindset installer and workflow scaffolder.
CursorIDE
AI-first code editor built on VS Code.
VS CodeIDE
Free, open-source editor by Microsoft.
Recommended Stack
Startup Essentials
Estimated $10K - $14K over 6-10 weeks.
See exactly what it costs to build this -- with 3 comparable funded startups.
7-day free trial. Cancel anytime.
Discover the researchers behind this paper and find similar experts.
7-day free trial. Cancel anytime.
Related Papers
- Builds On ThisPrototype Transformer: Towards Language Model Architectures Interpretable by DesignViability: 3.0
- Builds On ThisOn the Computational Hardness of TransformersViability: 2.0
- Builds On ThisTransformers converge to invariant algorithmic coresViability: 2.0
- Builds On ThisOn the Expressive Power of Transformers for Maxout Networks and Continuous Piecewise Linear FunctionsViability: 3.0
- Prior WorkSympFormer: Accelerated attention blocks via Inertial Dynamics on Density Manifolds