From the course: MLOps Essentials: Model Development and Integration
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Training with generative AI
From the course: MLOps Essentials: Model Development and Integration
Training with generative AI
- [Instructor] Generative AI is the newest class of AI that is revolutionizing how machine learning could be used to help automate enterprise use cases. While most of the ML ops principles discussed in this course apply to generative AI also, there are some special considerations. In the case of model training, there are some unique processes. Let's briefly discuss them in this video. How are training models different in GenAI, compared to traditional machine learning? In GenAI, there are two key tasks namely, pre-training and fine-tuning in the training phase. In pre-training, the goal is to create a GenAI model from scratch. These models are also called foundation models. These models are huge in size with billions of model parameters. The goal of pre-training is to create a general purpose model using general purpose data sets. Typically, data sets like the entire Wikipedia are used build foundation models. The foundation model learns general patterns and structures in data…
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