Few Shot Learning

J

K

N

O

R

X

Y

Z

Few Shot Learning

Overview of Few Shot Learning Method

It refers to the training algorithms for machine learning using a minimal set of training data rather than an extensive set. This is most appropriate in the field of computer vision, where it is desirable to have a model of object categorization work well without thousands of examples of training.

×

From Fragmented PoCs to Production-Ready AI

From AI curiosity to measurable impact - discover, design and deploy agentic systems across your enterprise.

modal-card-icon-three

Building Organizational Readiness

Cognitive intelligence, physical interaction, and autonomous behavior in real-world environments

modal-card-icon-two

Business Case Discovery - PoC & Pilot

Validate AI opportunities, test pilots, and measure impact before scaling

modal-card-icon

Responsible AI Enablement Program

Govern AI responsibly with ethics, transparency, and compliance

Get Started Now

Neural AI help enterprises shift from AI interest to AI impact — through strategic discovery, human-centered design, and real-world orchestration of agentic systems