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Chapter_3-Large_Language_Models\19 Section Intro.mp4
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Chapter_3-Large_Language_Models\21 Tokens and Parameters.mp4
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Chapter_3-Large_Language_Models\22 Transformers and Attention Mechanism.mp4
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Chapter_3-Large_Language_Models\23 Pre Training and Fine Tuning of Foundational Models.mp4
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Chapter_3-Large_Language_Models\25 Limitations of LLMs.mp4
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Chapter_4-Introduction_to_Agentic_AI\27 What is Agentic AI.mp4
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Chapter_4-Introduction_to_Agentic_AI\28 What is Agentic AI .mp4
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Chapter_4-Introduction_to_Agentic_AI\29 Goals and Tools.mp4
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Chapter_4-Introduction_to_Agentic_AI\30 Memory and Planning.mp4
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Chapter_4-Introduction_to_Agentic_AI\31 Agentic Architecture and Types of Agents.mp4
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Chapter_4-Introduction_to_Agentic_AI\32 Multi Agents, Examples and Challenges.mp4
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Chapter_4-Introduction_to_Agentic_AI\33 Agentic Devops, MLOps and Ethical Considerations.mp4
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Chapter_4-Introduction_to_Agentic_AI\34 Module Summary.mp4
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Chapter_5-Introduction_to_MLOps\35 What is MLOps .mp4
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Chapter_5-Introduction_to_MLOps\36 Story of Evolution of MLOps, LLMOps and AgenticAIOps.mp4
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Chapter_5-Introduction_to_MLOps\37 Comparing Three Approach to AI - ML, LLM, Agentic.mp4
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Chapter_5-Introduction_to_MLOps\38 MLOps Case Studies - Learning from the Pioneers.mp4
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Chapter_5-Introduction_to_MLOps\39 Comparing Devops vs MLOps.mp4
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Chapter_5-Introduction_to_MLOps\40 Emergence of a MLOps Engineer.mp4
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Chapter_1-Introduction\1 Section Intro.mp4
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Chapter_1-Introduction\2 Traditional Programming vs Machine Learning.mp4
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Chapter_1-Introduction\3 Supervised Learning.mp4
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Chapter_1-Introduction\4 Unsupervised Learning.mp4
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Chapter_1-Introduction\5 Reinforcement Learning.mp4
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Chapter_1-Introduction\6 Feature Engineering and Dataset Splitting.mp4
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Chapter_1-Introduction\7 Training vs Inference.mp4
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Chapter_1-Introduction\8 How fit is your Model Evaluation and OverUnderfitting.mp4
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Chapter_1-Introduction\9 Hyperparameter Tuning and Balancing BiasVariance.mp4
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Chapter_2-Introduction_to_Machine_Learning_Algorithms\10 Section Intro.mp4
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Chapter_2-Introduction_to_Machine_Learning_Algorithms\11 Linear Regression.mp4
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Chapter_2-Introduction_to_Machine_Learning_Algorithms\12 Logistic Regression.mp4
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Chapter_2-Introduction_to_Machine_Learning_Algorithms\14 Random Forest.mp4
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Chapter_2-Introduction_to_Machine_Learning_Algorithms\15 Support Vector Machines (SVMs).mp4
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Chapter_2-Introduction_to_Machine_Learning_Algorithms\16 Neural Networks.mp4
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Chapter_2-Introduction_to_Machine_Learning_Algorithms\17 Boosting Algorithms.mp4
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Chapter_2-Introduction_to_Machine_Learning_Algorithms\18 Module Summary.mp4
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