
Multilingual LLMs and the Values Divide in AI with Sara Hooker - #651
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
Navigating Portability Challenges in Machine Learning
This chapter explores the impact of hardware on machine learning frameworks and the limitations it imposes on innovation and research. It emphasizes the necessity for better collaboration between software developers and hardware architects to enhance portability and communication within the field.
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