Building Next Gen AI & Machine Learning Enterprises, Futurist, Speaker, AI Thought Leader & Investor
Have you wondered about the striking synergies between Large Language Models (LLMs) and Automated Machine Learning(Auto ML) Models? A few years ago, AutoML models made a lot of buzz in the AI domain. Even bigger buzz has been made by LLMs in recent times. There are striking synergies between LLMs and AutoML models. The performance of both LLMs and AutoML models improves with the quantity and quality of data. Both aim to automate aspects of machine learning. LLMs automate text-related tasks, while AutoML models automate the entire machine-learning pipeline. While LLMs are suitable for applications requiring deep language understanding and generation, AutoML models are ideal for users who need efficient and scalable ML solutions across different domains. As the use of LLM applications continues to grow, the next decade is poised to witness a significant shift towards the automation and productization of these models rather than their stand-alone deployment. This evolution in technology is a fascinating prospect, and if you share this interest, I invite you to stay tuned and follow along for more. #artificialintelligence #generativeai #LLMs #AutoML #leadership #futurisits #reviewwithsrujana
Manan Patel
4mo
Great insight! However, I am also intrigued as to how the irreducible randomness and uncertainty of deterministic outcomes embedded in LLM's might affect automation and productization on a larger scale for NLP focused applications.
Co-Founder of Altrosyn and DIrector at CDTECH | Inventor | Manufacturer
4moThe convergence of Large Language Models (LLMs) and Automated Machine Learning (AutoML) models signifies a pivotal juncture in AI evolution, reminiscent of historical advancements where synergistic technologies propelled innovation. As we delve into this era of automation and scalability, I'm intrigued by the potential implications on workforce dynamics and skill requirements. How do you envision the interplay between LLMs and AutoML models shaping the future landscape of AI-driven industries, especially concerning workforce adaptation and the democratization of AI capabilities?