Assembly AI offers AI-as-a-service API to ease model development

Were you unable to attend Transform 2022? Check out all of the summit sessions in our on-demand library now! Over the last decade, artificial intelligence (AI) technologies have increasingly relied on neural networks to perform pattern recognition, machine learning (ML) and prediction. However, with ML models that consist of billions of parameters, training becomes more complicated as the model is unable to fit on a single GPU. Large language models (LLMs) such as GPT-3 and Gopher cost millions of dollars and require vast amounts of computing resources, making it challenging for cash and resource-constrained organizations to enter the field.