Deploy AI Smarter - LLM Scalability, ML-Ops and Cost Efficiency --> [ DevCourseWeb ]
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| Torrent Added : | 21 days ago in Other - Other |
| Torrent Size : | 2.85 GB |
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 -
Get Bonus Downloads Here.url -
182 bytes
~Get Your Files Here !
1. Introduction/1. Introduction & Welcome.mp4 -
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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