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Deepgram Pioneers Novel Training Approach Setting New Standard for AI Companies

Artificial intelligence has made astonishing technological advances in recent years and more companies are turning to AI to improve internal functions and unlock the potential of enterprise datasets. IDC has characterized AI as “inescapable” and estimates that by 2025, at least 90% of new enterprise apps will embed AI. But getting to the right models to effectively power AI is hard – and especially hard for speech. Today in order to address these needs, Deepgram has announced Deepgram AutoML, a new training capability that streamlines AI model development, reducing manual cycles for data scientists while giving them the best accuracy humanly possible.

AI Teaching AI Via Online Contract Law Game Created Due to Covid-19 Lockdown

ContrAI is a modular, web-first product that uses AI to aid contract management and analysis. The contract processing required to train the ContrAI system was due to enter its second phase from May this year following the initial categorization process at the end of last year. However, the lock-down meant that it would no longer be possible to bring together groups of legal students to implement this in person. As a result, the online Clause Game was developed to enable the contracts to be marked up remotely, providing essential data to train the algorithm.

Distributed GPU Performance for Deep Learning Training

If there is a time deadline by which training must be completed, or if it simply takes too long to complete training, distributing the workload across many GPUs can be used to reduce training time.  This flexibility allows GPU resources to be maximally utilized and provides high ROI since time to results can be minimized. HPE highlights recent research that explores the performance of GPUs in a scale-out and scale-up scenarios for deep learning training.