Introduction to LLM

Total of 4 articles available. Currently on page 1 of 1.

Understanding LLMs – A Mathematical Approach to the Engine Behind AI

A preview from Chapter 7.4: Discover why large language models inherit bias, the real-world risks, strategies for mitigation, and the growing role of AI governance.

2024-11-01

7.4 Data Ethics and Bias in Large Language Models

A preview from Chapter 7.4: Discover why large language models inherit bias, the real-world risks, strategies for mitigation, and the growing role of AI governance.

2024-10-09

7.0 Future Outlook and Challenges

A preview from Chapter 7: Explore the future of large language models—ethics, efficiency, multimodal AI, and responsible governance beyond scaling.

2024-10-06

5.1 Bias & Ethical Considerations

A preview from Chapter 5.1 of our book: uncover how large language models inherit bias and learn strategies to build fair, trustworthy AI.

2024-09-29

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Authors

SHO

CTO of Receipt Roller Inc., he builds innovative AI solutions and writes to make large language models more understandable, sharing both practical uses and behind-the-scenes insights.