Model fairness in AI and machine learning
Model fairness in AI and machine learning is a critical consideration in today’s data-driven world. With the increasing reliance on AI systems in various sectors, ensuring that these models treat al...
Human-in-the-loop machine learning
Human-in-the-loop (HITL) machine learning is a transformative approach reshaping how machine learning models learn and improve. By incorporating human feedback into traditional machine learning proces...
Tree of thoughts
The tree of thoughts concept brings a fresh perspective to understanding how humans think, especially as we integrate advanced technologies such as Large Language Models (LLMs) into our cognitive fram...
BERT
BERT has revolutionized the field of natural language processing (NLP) by enabling machines to understand language in a way that more closely mirrors human comprehension. Developed by Google, it lever...
