Distributed Training and Parallel Computing Techniques

Distributed Training and Parallel Computing Techniques

The increased use of ML is one reason the datasets and models have become more complex. Implementing challenging large language models or complicated image identification systems using conventional training procedures may take days, weeks, or even months.  This is where distributed training steps are needed. Highly distributed artificial intelligence models are the best way to ensure that the results of using artificial intelligence to augment h…