NOTE: Article in Progress

Language models1

Understanding the basic functioning of large language models requires an understanding of the following concepts:

Large Language Model (LLM)

Limitations

Word vectors and large language models may perpetuate biases. As they say, 'Garbage in, garbage out.' These models are trained using data generated by humans; hence, the biases of the individuals and society in general may persist in these models, especially through the text generated using these models.

References

  1. Bender, Emily M., et al. β€œOn the Dangers of Stochastic Parrots: Can Language Models Be Too Big? 🦜” Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency, Association for Computing Machinery, 2021, pp. 610–23. (PDF)