AI Model Efficiency
Mohit discusses the challenges of AI model efficiency, highlighting the ever-increasing number of parameters and the resource limitations faced by many researchers and underrepresented communities. He emphasizes the urgent need for improved evaluation methods, particularly in generative AI, where traditional metrics struggle to keep pace with advancements in technology. The conversation also touches on the environmental impact of these models, underscoring the importance of sustainable practices in AI development.In this clip
From this podcast
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
Unifying Vision and Language Models with Mohit Bansal - 636
Related Questions
What challenges are faced in evaluating generative AI systems as highlighted within the discussions about model outputs and metrics in the episode Holistic Evaluation of Generative AI Systems // Jineet Doshi // #280 and the clip Evaluating Generative AI ?
What challenges are faced in evaluating generative AI systems as highlighted within the discussions about model outputs and metrics in the episode Holistic Evaluation of Generative AI Systems // Jineet Doshi // #280 and the clip Evaluating Generative AI ?