To achieve these goals, we have pioneered new approaches to training neural networks that enable machine learning researchers and practitioners to build billion-parameter models on cost-effective CPU hardware as opposed to expensive, specialized chips such as GPUs. Furthermore, we have developed a suite of novel, automated hyper-parameter tuning capabilities to provide a truly hands-off-the-wheel library, called Universal Deep Transformers (UDT). This AutoML interface allows anyone with a standard laptop to get started with training state-of-the-art deep learning models without the need for tedious manual tuning or sophisticated machine learning expertise.
For more updates on our product releases, research developments, and engineering advances, look for regular updates in this space. In the meantime, we invite you to try out our software through demo notebooks hosted on Google Colab and visit our website. To use ThirdAI , please reach out to us by requesting a trial license for our software.