Posts about "language models"

A recent paper delves into the phenomenon of hallucination in language models, exploring key reasons and implications for artificial intelligence systems. These insights underscore the intricacies of machine learning models like GPT-3, shedding light on their unpredictable generation of superfluous or incorrect information.

The development of language models spans over 75 years, predating the current transformer-based models. Innovations such as IBM's alignment models in the 1990s and the harnessing of web data in the 2000s laid the groundwork for today's advancements in natural language processing.

As we look towards 2026, significant advancements in natural language processing (NLP) are expected to reshape the technological landscape. Developing more sophisticated models, enhancing interpretability, and concentrating on ethical AI deployment stand at the forefront of these trends.