Discussion on the potential of AI in the IT industry, including insights into system health and automation processes.
Emphasis on the importance of considering traditional machine learning algorithms alongside deep learning frameworks.
Exploration of the advantages of using pre-trained language models and the potential shift towards their use instead of fine-tuning.
Consideration of the challenges and considerations in deploying machine learning models, including data privacy and the need for specialized expertise.
This is the 3rd AiEdge Podcast! Ryan and Alejandro share their AI and machine learning experiences, covering topics like AI integration into their work, its applications in network infrastructure, deep learning frameworks, and managing large-scale models. They discuss privacy, on-premises vs. cloud deployment, and changing job roles, emphasizing the importance of staying adaptable in the ever-evolving tech landscape.
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