Deploy AI Smarter - LLM Scalability, ML-Ops and Cost Efficiency --> [ DevCourseWeb ]

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Deploy AI Smarter - LLM Scalability, ML-Ops and Cost Efficiency --> [ DevCourseWeb ]
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Torrent File Content (72 files)

[ DevCourseWeb.com ] Udemy - Deploy AI Smarter - LLM Scalability, ML-Ops and Cost Efficiency
Get Bonus Downloads Here.url -

182 bytes

~Get Your Files Here !
1. Introduction/1. Introduction & Welcome.mp4 -

74.44 MB

2. Getting Started/1. Course Structure How to get the Most out of this Course.mp4 -

119.1 MB

2. Getting Started/2. Environment Setup Prepare and Use the Resource of this Course Right.mp4 -

63.6 MB

3. Pre-Deployment Strategies/1. Ensuring Model Correctness Evaluation Techniques.mp4 -

48.53 MB

3. Pre-Deployment Strategies/2. Performance Optimization Exploring Key Dimensions.mp4 -

56.65 MB

3. Pre-Deployment Strategies/3. Balancing Speed and Accuracy Best Practices.mp4 -

76.42 MB

4. Advanced Model Management with ML-Ops/1. Fundamentals of ML Model Management and ML-Ops.mp4 -

59.46 MB

4. Advanced Model Management with ML-Ops/2. Overview of Effective ML-Ops Frameworks.mp4 -

49.04 MB

4. Advanced Model Management with ML-Ops/3. Setting up ML-Ops Framework Introduction to MLflow (Practical).mp4 -

103.26 MB

4. Advanced Model Management with ML-Ops/3.1 MLflow Setup Readme.html -

190 bytes

4. Advanced Model Management with ML-Ops/4. Getting Started with MLflow A Practical Approach (Practical).mp4 -

88.96 MB

4. Advanced Model Management with ML-Ops/4.1 4.5_getting_started.ipynb -

10.09 KB

4. Advanced Model Management with ML-Ops/4.2 Colab Getting Started with MLflow.html -

143 bytes

4. Advanced Model Management with ML-Ops/4.3 Jupyter Notebook MLflow Getting Started.html -

189 bytes

4. Advanced Model Management with ML-Ops/5. Training Models with MLflow A Hands-On Guide (Practical).mp4 -

170.95 MB

4. Advanced Model Management with ML-Ops/5.1 4.6_training_loop.ipynb -

11.02 KB

4. Advanced Model Management with ML-Ops/5.2 Colab MLflow Training Loop.html -

143 bytes

4. Advanced Model Management with ML-Ops/5.3 Jupyter Notebook MLflow Training Loop.html -

187 bytes

4. Advanced Model Management with ML-Ops/6. MLflow for Model Inference Techniques and Practices (Practical).mp4 -

150.94 MB

4. Advanced Model Management with ML-Ops/6.1 4.7_mlflow_inference.ipynb -

10.89 KB

4. Advanced Model Management with ML-Ops/6.2 Colab Inference with MLflow.html -

143 bytes

4. Advanced Model Management with ML-Ops/6.3 Jupyter Notebook MLflow Inference & Serving.html -

190 bytes

4. Advanced Model Management with ML-Ops/7. Advanced Techniques in MLflow Extending Functionality (Practical).mp4 -

74.21 MB

4. Advanced Model Management with ML-Ops/7.1 4.8_mlflow_authentication.py -

386 bytes

4. Advanced Model Management with ML-Ops/7.2 GitHub MLflow Authentication.html -

192 bytes

5. Advanced Model Deployment Techniques/1. Efficiency through Batching and Dynamic Batches.mp4 -

105.89 MB

5. Advanced Model Deployment Techniques/2. Hands-on Application of Batching Techniques (Practical).mp4 -

110.27 MB

5. Advanced Model Deployment Techniques/2.1 5.2_batching_and_dynamic_batching.ipynb -

8.44 KB

5. Advanced Model Deployment Techniques/2.2 5.2_batching_and_dynamic_batching.py -

3.64 KB

5. Advanced Model Deployment Techniques/2.3 Jupyter Notebook Batching & Dynamic Batching.html -

227 bytes

5. Advanced Model Deployment Techniques/2.4 Python Source Batching & Dynamic Batching.html -

224 bytes

5. Advanced Model Deployment Techniques/3. The Role of Sorting in Model Deployment (Practical).mp4 -

119.89 MB

5. Advanced Model Deployment Techniques/3.1 5.3_the_role_of_sorting_batches.ipynb -

8.5 KB

5. Advanced Model Deployment Techniques/3.2 5.3_the_role_of_sorting_batches.py -

2.52 KB

5. Advanced Model Deployment Techniques/3.3 Jupyter Notebook Batch Sorting Optimizations.html -

225 bytes

5. Advanced Model Deployment Techniques/3.4 Python Source Batch Sorting Optimizations.html -

222 bytes

5. Advanced Model Deployment Techniques/4. Leveraging Quantization for Model Efficiency (Practical).mp4 -

142.91 MB

5. Advanced Model Deployment Techniques/4.1 5.4_understanding_quantization.ipynb -

7.99 KB

5. Advanced Model Deployment Techniques/4.2 5.4_understanding_quantization.py -

2.54 KB

5. Advanced Model Deployment Techniques/4.3 Jupyter Notebook Quantization for Model Efficiency.html -

224 bytes

5. Advanced Model Deployment Techniques/4.4 Python Source Quantization for Model Efficiency.html -

221 bytes

5. Advanced Model Deployment Techniques/5. Inference Strategies Parallelism, Flash Attention, GPTQ & AVQ,.mp4 -

139.03 MB

5. Advanced Model Deployment Techniques/6. Next-Gen Scaling LoRa, Paged Attention, ZeRO.mp4 -

120.28 MB

6. The Economics of Machine Learning Inference/1. The Broader Context of AI A Wider Perspective.mp4 -

74.16 MB

6. The Economics of Machine Learning Inference/2. Measuring Performance Key Metrics for Large AI Projects.mp4 -

64.49 MB

6. The Economics of Machine Learning Inference/3. Evaluating Deployment Strategies for Cost & Efficiency.mp4 -

53.73 MB

6. The Economics of Machine Learning Inference/4. Real-World Benchmarks for Success Case Studies and Insights.mp4 -

134.32 MB

7. Effective Cluster Management for Large Scale ML Deployments/1. Basic Inference - First Levels of Deployment (Practical).mp4 -

132.74 MB

7. Effective Cluster Management for Large Scale ML Deployments/1.1 GitHub Level 1 Deployment.html -

207 bytes

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