Automated and adaptive design and training of neural networks

This invention describes a system for improving how neural networks are trained. It focuses on managing specific settings, called hyperparameters, that control the network's speed, efficiency, or accuracy. The system does this by generating new hyperparameter values during different training stages, each stage using a specific, pre-set learning rate, and can display the training progress visually.

Why it matters: Since 2021, the scale and complexity of neural networks, particularly large language models, have grown exponentially. This invention's focus on adaptive training methods and hyperparameter management is now even more critical for efficiently and accurately training these much larger and more demanding models.

Status: Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build: SpecializedSoftware logic, neural network training

3 AI reinvention directions for this patent

See all three

AI gives you a few directions you could take this. Pick one, and we check whether your version is different enough to patent, then write the filing.

Reinvent this with AI

Where this one came from

Every morning we go through millions of abandoned patents and pick out 15 worth your time. This was one of today’s.

This one

+10