Bias And Fairness In Large Language Models --> [ CourseWikia ]
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Torrent File Content (21 files)
[ CourseWikia.com ] Bias And Fairness In Large Language Models
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Get Bonus Downloads Here.url -
181 bytes
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1 - Introduction/1 - Intro Video.mp4 -
1 - Introduction/1 - Intro Video.mp4 -
24.42 MB
1 - Introduction/2 - The Rise of Large Language Models.mp4 -
27.68 MB
1 - Introduction/3 - The Importance of Bias and Fairness.mp4 -
22.39 MB
1 - Introduction/4 - Course Objectives and Overview.mp4 -
38.77 MB
2 - Module 1 Understanding Bias in LLMs/5 - Defining Bias in LLMs.mp4 -
28.38 MB
2 - Module 1 Understanding Bias in LLMs/6 - Types of Bias in LLMs.mp4 -
168.54 MB
2 - Module 1 Understanding Bias in LLMs/7 - Impacts of Biased LLM Outputs.mp4 -
125.16 MB
3 - Module 2 Mitigating Bias in LLM Training/10 - Illustrating Debiasing Techniques 1.mp4 -
50.07 MB
3 - Module 2 Mitigating Bias in LLM Training/11 - Illustrating Debiasing Techniques 2.mp4 -
39.68 MB
3 - Module 2 Mitigating Bias in LLM Training/8 - Debiasing Techniques.mp4 -
138.03 MB
3 - Module 2 Mitigating Bias in LLM Training/9 - Algorithmic Approaches.mp4 -
68.86 MB
4 - Module 3 Evaluating Bias and Fairness/12 - Measuring Bias and Fairness.mp4 -
60.27 MB
4 - Module 3 Evaluating Bias and Fairness/13 - Challenges and Considerations.mp4 -
130.37 MB
4 - Module 3 Evaluating Bias and Fairness/14 - Transitioning to Realworld Considerations.mp4 -
17.49 MB
5 - Module 4 Realworld Considerations/15 - Balancing Fairness and Other Attributes.mp4 -
100.8 MB
5 - Module 4 Realworld Considerations/16 - Deployment and Monitoring.mp4 -
74.58 MB
5 - Module 4 Realworld Considerations/17 - Interdisciplinary Collaboration.mp4 -
83.06 MB
6 - Conclusion/18 - Key Takeaways.mp4 -
51.47 MB
6 - Conclusion/19 - Future Directions and Resources.mp4 -
72.69 MB
Bonus Resources.txt -
386 bytes
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