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🏭 MLOps & LLMOps

Model deployment, experiment tracking, monitoring, inference optimisation and AI pipelines

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Create fine-tuned models with NO-CODE for Ollama & LMStudio!
21:52
MLOps & LLMOps ⚡ AI Lesson
Create fine-tuned models with NO-CODE for Ollama & LMStudio!
Tim Carambat Intermediate 1y ago
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Chemical Engineering Thermodynamics 1
📚 External: Coursera ↗
Self-paced
Chemical Engineering Thermodynamics 1
Opens on Coursera ↗
Azure ML: Deploying, Managing, and Experimenting with Models
📚 External: Coursera ↗
Self-paced
Azure ML: Deploying, Managing, and Experimenting with Models
Opens on Coursera ↗
Detect AI Anomalies: Real-Time Outliers
📚 External: Coursera ↗
Self-paced
Detect AI Anomalies: Real-Time Outliers
Opens on Coursera ↗
Automate, Evaluate and Deploy ML Models Confidently
📚 External: Coursera ↗
Self-paced
Automate, Evaluate and Deploy ML Models Confidently
Opens on Coursera ↗
Chemical Engineering Thermodynamics 2
📚 External: Coursera ↗
Self-paced
Chemical Engineering Thermodynamics 2
Opens on Coursera ↗
Model Serving Systems: Containers, APIs & Scalability
📚 External: Coursera ↗
Self-paced
Model Serving Systems: Containers, APIs & Scalability
Opens on Coursera ↗