Tag: Bias and Explainability

Large Language Models (LLMs) represent an evolution of artificial intelligence technology, built on the backbone of deep learning techniques and trained on massive datasets. This section delves into the history and workings of LLMs. From the inception of language models at MIT in 1966 with ELIZA to the emergence of modern LLMs using transformer neural networks, we trace the growth and evolution of these advanced AI systems. We also delve into how LLMs work, starting from their training on large volumes of data and progressing to deep learning via transformer neural networks.