Artificial Intelligence (AI) has evolved significantly from its early conceptual stages in the 1900s to its current integration into everyday tools. The release of ChatGPT by OpenAI marked a significant milestone, driving widespread interest and adoption of AI technologies. However, a new player,
In recent years, the field of data analytics has witnessed the rise of large language models (LLMs), which have generated substantial excitement due to their promising capabilities. These complex deep-learning models, such as GPT-3, ChatGPT, Google Gemini, and Microsoft Copilot, have demonstrated
The integration of Artificial Intelligence (AI) into User Experience (UX) research is transforming the way UX professionals conduct user testing. Traditional UX research methods, often time-consuming and resource-intensive, are being enhanced by AI's ability to automate tasks and provide deeper
Advances in natural language processing (NLP) are opening unprecedented avenues in improving information retrieval and the reasoning capabilities of AI models. A notable innovation in this realm is LLMQuoter, a lightweight model developed by TransLab at the University of Brasília. This new model
In a surprising and innovative advancement in natural language processing (NLP), researchers from the University of Hong Kong have developed EvaByte, a state-of-the-art, tokenizer-free model. This pioneering 6.5 billion parameter model aims to resolve the inherent limitations of traditional
The advent of large language models (LLMs) has brought about a significant shift in the AI landscape, enabling more sophisticated natural language processing capabilities. However, the deployment of these models is fraught with challenges, primarily revolving around high computational costs,
