Download Udemy - Deploy AI Smarter - LLM Scalability, ML-Ops and Cost Efficiency Torrent

Torrent Contents Size: 2.8 GB

Udemy - Deploy AI Smarter - LLM Scalability, ML-Ops and Cost Efficiency

▼ show more 57 files

1. Basic Inference - First Levels of Deployment (Practical).mp4	MP4	132.7 MB
1. Course Structure How to get the Most out of this Course.mp4	MP4	119.1 MB
1. Efficiency through Batching and Dynamic Batches.mp4	MP4	105.9 MB
1. Ensuring Model Correctness Evaluation Techniques.mp4	MP4	48.5 MB
1. Fundamentals of ML Model Management and ML-Ops.mp4	MP4	59.5 MB
1. Introduction & Welcome.mp4	MP4	74.4 MB
1. The Broader Context of AI A Wider Perspective.mp4	MP4	74.2 MB
1.1 GitHub Level 1 Deployment.html	HTML	204.8 B
1.2 GitHub Level 2 Deployment.html	HTML	204.8 B
1.3 level1.py	PY	921.6 B
1.4 level2.py	PY	921.6 B
1.5 utils.py	PY	409.6 B
2. Entering Optimisations - Advanced Levels of Deployment (Practical).mp4	MP4	91.4 MB
2. Environment Setup Prepare and Use the Resource of this Course Right.mp4	MP4	63.6 MB
2. Hands-on Application of Batching Techniques (Practical).mp4	MP4	110.3 MB
2. Measuring Performance Key Metrics for Large AI Projects.mp4	MP4	64.5 MB
2. Overview of Effective ML-Ops Frameworks.mp4	MP4	49 MB
2. Performance Optimization Exploring Key Dimensions.mp4	MP4	56.6 MB
2.1 5.2_batching_and_dynamic_batching.ipynb	IPYNB	8.4 KB
2.1 GitHub Level 3 Deployment.html	HTML	204.8 B
2.2 5.2_batching_and_dynamic_batching.py	PY	3.6 KB
2.2 GitHub Level 4 Deployment.html	HTML	204.8 B
2.3 Jupyter Notebook Batching & Dynamic Batching.html	HTML	204.8 B
2.3 level3.py	PY	921.6 B
2.4 Python Source Batching & Dynamic Batching.html	HTML	204.8 B
2.4 level4.py	PY	819.2 B
3. Balancing Speed and Accuracy Best Practices.mp4	MP4	76.4 MB
3. Evaluating Deployment Strategies for Cost & Efficiency.mp4	MP4	53.7 MB
3. Setting Up Data Access in Distributed Environments (Practical).mp4	MP4	157.3 MB
3. Setting up ML-Ops Framework Introduction to MLflow (Practical).mp4	MP4	103.3 MB
3. The Role of Sorting in Model Deployment (Practical).mp4	MP4	119.9 MB
3.1 5.3_the_role_of_sorting_batches.ipynb	IPYNB	8.5 KB
3.1 GitHub Level 5 Deployment.html	HTML	204.8 B
3.1 MLflow Setup Readme.html	HTML	204.8 B
3.2 5.3_the_role_of_sorting_batches.py	PY	2.5 KB
3.3 Jupyter Notebook Batch Sorting Optimizations.html	HTML	204.8 B
3.4 Python Source Batch Sorting Optimizations.html	HTML	204.8 B
4. Distributing Data Across a Cluster with RabbitMQ (Practical).mp4	MP4	101.1 MB
4. Getting Started with MLflow A Practical Approach (Practical).mp4	MP4	89 MB
4. Leveraging Quantization for Model Efficiency (Practical).mp4	MP4	142.9 MB
4. Real-World Benchmarks for Success Case Studies and Insights.mp4	MP4	134.3 MB
4.1 4.5_getting_started.ipynb	IPYNB	10.1 KB
4.1 5.4_understanding_quantization.ipynb	IPYNB	8 KB
4.1 GitHub Level 5 Deployment.html	HTML	204.8 B
4.2 5.4_understanding_quantization.py	PY	2.5 KB
4.2 Colab Getting Started with MLflow.html	HTML	102.4 B
4.2 produce_prompts.py	PY	512 B
4.3 Jupyter Notebook MLflow Getting Started.html	HTML	204.8 B
4.3 Jupyter Notebook Quantization for Model Efficiency.html	HTML	204.8 B
4.3 rabbit.py	PY	1.2 KB
4.4 Python Source Quantization for Model Efficiency.html	HTML	204.8 B
5. Foundations of Distributed Computing with Ray (Practical).mp4	MP4	81 MB
5. Inference Strategies Parallelism, Flash Attention, GPTQ & AVQ,.mp4	MP4	139 MB
5. Training Models with MLflow A Hands-On Guide (Practical).mp4	MP4	171 MB
5.1 4.6_training_loop.ipynb	IPYNB	11 KB
5.1 GitHub Level 5 Deployment.html	HTML	204.8 B
5.2 Colab MLflow Training Loop.html	HTML	102.4 B
5.3 Jupyter Notebook MLflow Training Loop.html	HTML	204.8 B
6. MLflow for Model Inference Techniques and Practices (Practical).mp4	MP4	150.9 MB
6. Next-Gen Scaling LoRa, Paged Attention, ZeRO.mp4	MP4	120.3 MB
6. Scaling Large Language Models on a Cluster (Practical).mp4	MP4	149.6 MB
6.1 4.7_mlflow_inference.ipynb	IPYNB	10.9 KB
6.1 consume_results.py	PY	204.8 B
6.2 Colab Inference with MLflow.html	HTML	102.4 B
6.2 GitHub Level 5 Deployment.html	HTML	204.8 B
6.3 Jupyter Notebook MLflow Inference & Serving.html	HTML	204.8 B
6.3 ray_batch_job.py	PY	921.6 B
7. Advanced Techniques in MLflow Extending Functionality (Practical).mp4	MP4	74.2 MB
7.1 4.8_mlflow_authentication.py	PY	409.6 B
7.2 GitHub MLflow Authentication.html	HTML	204.8 B
Bonus Resources.txt	TXT	409.6 B
Get Bonus Downloads Here.url	URL	204.8 B

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Udemy - Deploy AI Smarter - LLM Scalability, ML-Ops and Cost Efficiency

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