AI Ethics and Bias in LLMs: A Developer’s Guide to Building Fair and Accountable Algorithms
The High-Stakes World of Algorithmic Fairness in LLMs For the discerning professional and early adopter, the performance of a Large Language Model (LLM) is no longer judged solely by its perplexity score or inference speed. In 2024, the critical benchmark is LLM Bias: its capacity for fairness, accountability, and ethical deployment. Our audience—affluent Americans … Read more