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| User | Reason | Date |
|---|
Success
| File | Size |
|---|---|
| Get Bonus Downloads Here.url | 204 bytes |
| 1. AI Cost Paradox (Description).html | 9.4 KB |
| 1. AI Cost Paradox.mp4 | 480.2 MB |
| 1. Assessment 1.html | 25.6 KB |
| 2. Assessment - 2.html | 26.4 KB |
| 2. What Is Frugal AI From Model Obsession to Constraint Driven System Design (Description).html | 6.9 KB |
| 2. What Is Frugal AI From Model Obsession to Constraint Driven System Design.mp4 | 710.5 MB |
| 3. Assessment - 3.html | 23.6 KB |
| 3. The frugal AI technical stack (Description).html | 22.2 KB |
| 3. The frugal AI technical stack.mp4 | 267.6 MB |
| 4. Assessment -4.html | 25.8 KB |
| 4. Frugal LLM Part 1 (Description).html | 7.5 KB |
| 4. Frugal LLM Part 1.mp4 | 64.9 MB |
| 5. Assessment - 5.html | 24.0 KB |
| 5. Frugal LLM Part 2 (Description).html | 7.8 KB |
| 5. Frugal LLM Part 2.mp4 | 222.9 MB |
| 6. Assessment - 6.html | 24.6 KB |
| 6. Frugal Deployment (Description).html | 9.4 KB |
| 6. Frugal Deployment.mp4 | 169.9 MB |
| 7. Assessment - 7.html | 26.2 KB |
| 7. Responsible & Sustainable Frugal AI Systems (Description).html | 10.7 KB |
| 7. Responsible & Sustainable Frugal AI Systems.mp4 | 115.8 MB |
| Bonus Resources.txt | 102 bytes |
| Uploaded by freecoursewb | Size 2.0 GB | Health [ 49 /18 ] | Added 2026-06-03 |
NOTE
SOURCE: Udemy - Frugal AI
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MEDIAINFO
Frugal AI
https://WebToolTip.com
Published 5/2026
Created by Arjuna Sathiaseelan
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Intermediate | Genre: eLearning | Language: English | Duration: 7 Lectures ( 3h 52m ) | Size: 2 GB
Build Cost-Effective, Sustainable, and High-Performance AI Systems while Reducing Infrastructure Costs by up to 60%.
What you'll learn
⚡ Master the core principles of Frugal Innovation to build high-performance AI systems with significantly lower infrastructure costs.
⚡ Identify and mitigate the "AI Cost Paradox" by understanding the environmental and economic impacts of traditional AI models.
⚡ Business Case for FrImplement efficient Technical Stacks and deployment strategies specifically designed for Frugal Large Language Models (LLMs).ugal AI
⚡ Getting Started WorkshopDevelop sustainable and responsible AI solutions that maintain high quality while achieving up to 60% reduction in operating costs.
Requirements
❗ Basic Understanding of AI/ML: A foundational grasp of what Artificial Intelligence and Machine Learning are will help you follow the technical stack discussions.
❗ Familiarity with Data Concepts: Comfort with how data is used to train models is beneficial, though deep mathematical expertise is not required.
❗ Interest in Sustainability: A desire to learn about cost-effective and environmentally conscious engineering practices in the tech industry.
❗ No Specialist Tools Required: All you need is a computer with an internet connection; no expensive hardware or paid software licenses are necessary to begin.
❗ Professional Curiosity: Ideally suited for developers, data scientists, or tech leads looking to optimize their current AI infrastructure.
