Language Model

Robotic learning typically involves training datasets tailored to specific robots and tasks, necessitating extensive data collection for each operation. The goal is to create a “general-purpose robot model”, which could control a range of robots using data from previous machines and tasks, ultimately enhancing performance and generalization capabilities. However, these universal models face challenges unique…

As AI models become increasingly vital for computing functionality and user experience, the challenge lies in effectively integrating them into smaller devices like personal computers without major resource utilization. Microsoft has developed a solution to this challenge with the introduction of Phi Silica, a small language model (SLM) designed to work with the Neural Processing…

The increasing sophistication of artificial intelligence and large language models (LLMs) like GPT-4 and LLaMA2-70B has sparked interest in their potential to display a theory of mind. Researchers from the University Medical Center Hamburg-Eppendorf, the Italian Institute of Technology, Genoa, and the University of Trento are studying these models to assess their capabilities against human…

Artificial Intelligence (AI) is increasingly transforming many areas of modern life, significantly advancing fields such as technology, healthcare, and finance. Within the AI landscape, there has been significant interest and progress regarding Reinforcement Learning (RL) and Generative Adversarial Networks (GANs). They represent key facilitators of major changes in the AI area, enabling advanced decision-making processes…

Natural Language Processing (NLP) is a critical field that allows computers to comprehend, interpret, and generate human language. This translates to tasks such as language translation, sentiment analysis, and text generation, creating systems that can interact effectively with humans through language. However, carrying out these tasks demands complex models able to cope with aspects of…

Natural language processing (NLP) refers to a field of computer science concerned with enabling computers to understand, interpret, and generate human language. Tasks encompassed in this area include language translation, sentiment analysis, and text generation. The primary objective is creating systems capable of interacting with humans using language fluently. However, achieving this requires developing complex…