AutoML in the Age of Large Language Models: Current Challenges, Future Opportunities and Risks

arXiv:2306.08107v3 Announce Type: replace
Abstract: The fields of both Natural Language Processing (NLP) and Automated Machine Learning (AutoML) have achieved remarkable results over the past years. In NLP, especially Large Language Models (LLMs) have experienced a rapid series of breakthroughs very recently. We envision that the two fields can radically push the boundaries of each other through tight integration. To showcase this vision, we explore the potential of a symbiotic relationship between AutoML and LLMs, shedding light on how they …

abstract age arxiv automated automated machine learning automl challenges cs.cl cs.lg current fields future language language models language processing large language large language models llms machine machine learning natural natural language natural language processing nlp opportunities processing risks series type