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Udemy - LLMOps & ML Deployment Bring LLMs and GenAI to Production

Category: Courses / Others
Author: AD-TEAM
Date added: 16.06.2024 :34:27
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Description material

Udemy - LLMOps & ML Deployment Bring LLMs and GenAI to Production


Download Free Download : Udemy - LLMOps & ML Deployment Bring LLMs and GenAI to Production
mp4 | Video: h264,1280X720 | Audio: AAC, 44.1 KHz
Genre:eLearning | Language: English | Size:2.85 GB


Files Included :

1 Introduction & Welcome.mp4 (74.44 MB)
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1 Course Structure How to get the Most out of this Course.mp4 (119.1 MB)
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2 Environment Setup Prepare and Use the Resource of this Course Right.mp4 (63.6 MB)
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1 Ensuring Model Correctness Evaluation Techniques.mp4 (48.53 MB)
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2 Performance Optimization Exploring Key Dimensions.mp4 (56.65 MB)
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3 Balancing Speed and Accuracy Best Practices.mp4 (76.42 MB)
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1 Fundamentals of ML Model Management and ML-Ops.mp4 (59.46 MB)
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2 Overview of Effective ML-Ops Frameworks.mp4 (49.04 MB)
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3 Setting up ML-Ops Framework Introduction to MLflow (Practical).mp4 (103.26 MB)
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4 Getting Started with MLflow A Practical Approach (Practical).mp4 (88.96 MB)
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5 Training Models with MLflow A Hands-On Guide (Practical).mp4 (170.95 MB)
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6 MLflow for Model Inference Techniques and Practices (Practical).mp4 (150.94 MB)
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7 Advanced Techniques in MLflow Extending Functionality (Practical).mp4 (74.21 MB)
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1 Efficiency through Batching and Dynamic Batches.mp4 (105.89 MB)
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2 Hands-on Application of Batching Techniques (Practical).mp4 (110.27 MB)
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3 The Role of Sorting in Model Deployment (Practical).mp4 (119.89 MB)
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4 Leveraging Quantization for Model Efficiency (Practical).mp4 (142.91 MB)
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5 Inference Strategies Parallelism, Flash Attention, GPTQ & AVQ,.mp4 (139.03 MB)
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6 Next-Gen Scaling LoRa, Paged Attention, ZeRO.mp4 (120.28 MB)
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1 The Broader Context of AI A Wider Perspective.mp4 (74.16 MB)
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2 Measuring Performance Key Metrics for Large AI Projects.mp4 (64.49 MB)
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3 Evaluating Deployment Strategies for Cost & Efficiency.mp4 (53.73 MB)
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4 Real-World Benchmarks for Success Case Studies and Insights.mp4 (134.32 MB)
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1 Basic Inference - First Levels of Deployment (Practical).mp4 (132.74 MB)
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2 Entering Optimisations - Advanced Levels of Deployment (Practical).mp4 (91.45 MB)
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3 Setting Up Data Access in Distributed Environments (Practical).mp4 (157.31 MB)
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4 Distributing Data Across a Cluster with RabbitMQ (Practical).mp4 (101.06 MB)
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5 Foundations of Distributed Computing with Ray (Practical).mp4 (81.02 MB)
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6 Scaling Large Language Models on a Cluster (Practical).mp4 (149.59 MB)
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