Purpose: Is used to train the machine learning model. Function: Think of it as the study material for the model. It provides examples and patterns for the model to learn from and build its internal ...
MIT researchers achieved 61.9% on ARC tasks by updating model parameters during inference. Is this key to AGI? We might reach the 85% AGI doorstep by scaling and integrating it with COT (Chain of ...
Synthetic data allows regulators to test the resilience of critical infrastructure defenders under extreme hypothetical scenarios.
The first dimension is the most fundamental: statistical fidelity. It is not enough for synthetic data to look random. It must behave like real data. This means your distributions, cardinalities, and ...
Test automation and DevOps play a major role in today's quality assurance landscape. As we know, software development is evolving at a rapid pace. This requires finding robust ways to invest in ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results