AI Deployment Trends
Naveen discusses the evolving trends in AI deployment, highlighting the balance between training and inference. He emphasizes the need for continuous model improvement due to their limited lifespan, leading to a shift in how companies approach AI applications.In this clip
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I have a question about the episode Navigating Machine Learning Careers: Insights from Meta to Consulting // Ilya Reznik // #286 and the clip Fine Tuning Insights. Can you explain the differences between fine-tuning and training models: LLMs vs custom model applications and when to use each?
How is inference used in machine learning in the context of the episode AI is more than GenAI and the clip Model Training Insights?