| 1 - Intro Video.mp4 | 24.4 MB | ||
| 10 - Illustrating Debiasing Techniques 1.mp4 | 50.1 MB | ||
| 11 - Illustrating Debiasing Techniques 2.mp4 | 39.7 MB | ||
| 12 - Measuring Bias and Fairness.mp4 | 60.3 MB | ||
| 13 - Challenges and Considerations.mp4 | 130.4 MB | ||
| 14 - Transitioning to Realworld Considerations.mp4 | 17.5 MB | ||
| 15 - Balancing Fairness and Other Attributes.mp4 | 100.8 MB | ||
| 16 - Deployment and Monitoring.mp4 | 74.6 MB | ||
| 17 - Interdisciplinary Collaboration.mp4 | 83.1 MB | ||
| 18 - Key Takeaways.mp4 | 51.5 MB | ||
| 19 - Future Directions and Resources.mp4 | 72.7 MB | ||
| 2 - The Rise of Large Language Models.mp4 | 27.7 MB | ||
| 3 - The Importance of Bias and Fairness.mp4 | 22.4 MB | ||
| 4 - Course Objectives and Overview.mp4 | 38.8 MB | ||
| 5 - Defining Bias in LLMs.mp4 | 28.4 MB | ||
| 6 - Types of Bias in LLMs.mp4 | 168.5 MB | ||
| 7 - Impacts of Biased LLM Outputs.mp4 | 125.2 MB | ||
| 8 - Debiasing Techniques.mp4 | 138 MB | ||
| 9 - Algorithmic Approaches.mp4 | 68.9 MB | ||
| Bonus Resources.txt | 409.6 B | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| ▲ 21 total files | |||
Bias And Fairness In Large Language Models
https://CourseWikia.com
Published 4/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.29 GB | Duration: 0h 43m
Explore Potential Biases in (AI) Training Data and Strategies to Develop Fair and Unbiased Large Language Models
What you'll learn
Introduction To Bias And Fairness In Large Language Models
Types Of Biases In Training Data
Case Studies On Bias In Language Models
Measuring Bias In Language Models
Strategies To Mitigate Bias In Language Models
Ethical Considerations In Developing ChatGPT-Like Models
Requirements
Here are the requirements and prerequisites for the "Bias and Fairness in Large Language Models" Udemy course: Prerequisites: No prior experience with large language models or AI ethics is required. This course is designed for learners at all levels, from beginners to experienced AI practitioners. A basic understanding of machine learning and natural language processing concepts would be helpful, but not strictly necessary. The course will provide explanations and introductions to these topics as needed. Familiarity with using online tools and platforms for learning and research purposes.
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