Large Language Models (LLMs) have become indispensable tools for diverse natural language processing (NLP) tasks. Traditional LLMs operate at the token level, generating output one word or subword at ...
The concept of AI self-improvement has been a hot topic in recent research circles, with a flurry of papers emerging and prominent figures like OpenAI CEO Sam Altman weighing in on the future of ...
The global artificial intelligence market is expected to top US$40 billion in 2020, with a compound annual growth rate (CAGR) of 43.39 percent, according to Market Insight Reports. AI’s remarkable ...
The increasing integration of robots across various sectors, from industrial manufacturing to daily life, highlights a growing need for advanced navigation systems. However, contemporary robot ...
Just hours after making waves and triggering a backlash on social media, Genderify — an AI-powered tool designed to identify a person’s gender by analyzing their name, username or email address — has ...
Share My Research is Synced’s column that welcomes scholars to share their own research breakthroughs with over 1.5M global AI enthusiasts. Beyond technological advances, Share My Research also calls ...
A newly released 14-page technical paper from the team behind DeepSeek-V3, with DeepSeek CEO Wenfeng Liang as a co-author, sheds light on the “Scaling Challenges and Reflections on Hardware for AI ...
Since the May 2020 release of OpenAI’s GPT-3, AI researchers have embraced super-large-scale pretraining models. Packing an epoch-making 175 billion parameters, GPT-3 has achieved excellent ...
Large language models (LLMs) like GPTs, developed from extensive datasets, have shown remarkable abilities in understanding language, reasoning, and planning. Yet, for AI to reach its full potential, ...
In the ongoing quest for bigger and better, Google Brain researchers have scaled up their newly proposed Switch Transformer language model to a whopping 1.6 trillion parameters while keeping ...
Researchers from Google DeepMind introduce the concept of "Socratic learning." This refers to a form of recursive self-improvement in artificial intelligence that significantly enhances performance ...
Climate change and extreme weather events have made weather and climate modelling a challenging yet crucial real-world task. While current state-of-the-art approaches tend to employ numerical models ...
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