Deploy AI Smarter LLM Scalability ML Ops and Cost Efficiency DevCourseWeb

Deploy AI Smarter LLM Scalability ML Ops and Cost Efficiency DevCourseWeb
     Get Bonus Downloads Here.url -


     1. Introduction & Welcome.mp4 -


     1. Course Structure How to get the Most out of this Course.mp4 -


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


     1. Ensuring Model Correctness Evaluation Techniques.mp4 -


     2. Performance Optimization Exploring Key Dimensions.mp4 -


     3. Balancing Speed and Accuracy Best Practices.mp4 -


     1. Fundamentals of ML Model Management and ML-Ops.mp4 -


     2. Overview of Effective ML-Ops Frameworks.mp4 -


     3. Setting up ML-Ops Framework Introduction to MLflow (Practical).mp4 -


     3.1 MLflow Setup Readme.html -


     4. Getting Started with MLflow A Practical Approach (Practical).mp4 -


     4.1 4.5_getting_started.ipynb -


     4.2 Colab Getting Started with MLflow.html -


     4.3 Jupyter Notebook MLflow Getting Started.html -


     5. Training Models with MLflow A Hands-On Guide (Practical).mp4 -


     5.1 4.6_training_loop.ipynb -


     5.2 Colab MLflow Training Loop.html -


     5.3 Jupyter Notebook MLflow Training Loop.html -


     6. MLflow for Model Inference Techniques and Practices (Practical).mp4 -


     6.1 4.7_mlflow_inference.ipynb -


     6.2 Colab Inference with MLflow.html -


     6.3 Jupyter Notebook MLflow Inference & Serving.html -


     7. Advanced Techniques in MLflow Extending Functionality (Practical).mp4 -


     7.1 4.8_mlflow_authentication.py -


     7.2 GitHub MLflow Authentication.html -


     1. Efficiency through Batching and Dynamic Batches.mp4 -


     2. Hands-on Application of Batching Techniques (Practical).mp4 -


     2.1 5.2_batching_and_dynamic_batching.ipynb -


     2.2 5.2_batching_and_dynamic_batching.py -


     2.3 Jupyter Notebook Batching & Dynamic Batching.html -


     2.4 Python Source Batching & Dynamic Batching.html -


     3. The Role of Sorting in Model Deployment (Practical).mp4 -


     3.1 5.3_the_role_of_sorting_batches.ipynb -


     3.2 5.3_the_role_of_sorting_batches.py -


     3.3 Jupyter Notebook Batch Sorting Optimizations.html -


     3.4 Python Source Batch Sorting Optimizations.html -


     4. Leveraging Quantization for Model Efficiency (Practical).mp4 -


     4.1 5.4_understanding_quantization.ipynb -


     4.2 5.4_understanding_quantization.py -


     4.3 Jupyter Notebook Quantization for Model Efficiency.html -


     4.4 Python Source Quantization for Model Efficiency.html -


     5. Inference Strategies Parallelism, Flash Attention, GPTQ & AVQ,.mp4 -


     6. Next-Gen Scaling LoRa, Paged Attention, ZeRO.mp4 -


     1. The Broader Context of AI A Wider Perspective.mp4 -


     2. Measuring Performance Key Metrics for Large AI Projects.mp4 -


     3. Evaluating Deployment Strategies for Cost & Efficiency.mp4 -


     4. Real-World Benchmarks for Success Case Studies and Insights.mp4 -


     1. Basic Inference - First Levels of Deployment (Practical).mp4 -


     1.1 GitHub Level 1 Deployment.html -


     1.2 GitHub Level 2 Deployment.html -


     1.3 level1.py -


     1.4 level2.py -


     1.5 utils.py -


     2. Entering Optimisations - Advanced Levels of Deployment (Practical).mp4 -


     2.1 GitHub Level 3 Deployment.html -


     2.2 GitHub Level 4 Deployment.html -


     2.3 level3.py -


     2.4 level4.py -


     3. Setting Up Data Access in Distributed Environments (Practical).mp4 -


     3.1 GitHub Level 5 Deployment.html -


     4. Distributing Data Across a Cluster with RabbitMQ (Practical).mp4 -


     4.1 GitHub Level 5 Deployment.html -


     4.2 produce_prompts.py -


     4.3 rabbit.py -


     5. Foundations of Distributed Computing with Ray (Practical).mp4 -


     5.1 GitHub Level 5 Deployment.html -


     6. Scaling Large Language Models on a Cluster (Practical).mp4 -


     6.1 consume_results.py -


     6.2 GitHub Level 5 Deployment.html -


     6.3 ray_batch_job.py -


     Bonus Resources.txt -

Related torrents

Torrent Name	Added	Size	Seed	Leech	Health
Deploy AI Smarter LLM Scalability ML Ops and Cost Efficiency DevCours…	2024-04-08	2.8 GB	29	3
Udemy Complete RAG Bootcamp Build Optimize and Deploy AI Ap	2025-11-13	4.0 GB	4	3
Udemy OpenAI Agent Builder and ChatKit Build and Deploy AI Wo	2025-10-24	1.6 GB	2	7
Lyon B Exploring Deepfakes Deploy powerful AI techniques guide 2023 a…	2023-11-12	16.3 MB	3	1
Code with Antonio Build and Deploy an AI Automation SaaS	2025-11-13	2.3 GB	4	11
Udemy Machine Learning Project Build and Deploy Real AI with	2026-03-02	2.2 GB	21	9
Hemanth K Learning Google Cloud Vertex AI Build deploy and manage 202…	2023-11-15	26.3 MB	9	1
[ FreeCourseWeb ] PyTorch Artificial Intelligence Fundamentals- A rec…	2023-06-02	21.0 MB	0	0
PyTorch Artificial Intelligence Fundamentals: A recipe-based approach…	2023-06-02	10.3 MB	3	0
PyTorch 1.x Reinforcement Learning Cookbook - Over 60 recipes to desi…	2023-06-01	34.1 MB	0	1

Note :

Feel free to post any comments about this torrent, including links to Subtitle, samples, screenshots, or any other relevant information. Watch Deploy AI Smarter LLM Scalability ML Ops and Cost Efficiency DevCourseWeb Full Movie Online Free, Like 123Movies, FMovies, Putlocker, Netflix or Direct Download Torrent Deploy AI Smarter LLM Scalability ML Ops and Cost Efficiency DevCourseWeb via Magnet Download Link.

Comments (0 Comments)

Please login or create a FREE account to post comments