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 ...
A pair of groundbreaking research initiatives from Meta AI in late 2024 is challenging the fundamental “next-token prediction” paradigm that underpins most of today’s large language models (LLMs). The ...
Tree boosting has empirically proven to be efficient for predictive mining for both classification and regression. For many years, MART (multiple additive regression trees) has been the tree boosting ...
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 ...
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 ...
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 quality and fluency of AI bots’ natural language generation are unquestionable, but how well can such agents mimic other human behaviours? Researchers and practitioners have long considered the ...
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 ...
Video world models, which predict future frames conditioned on actions, hold immense promise for artificial intelligence, enabling agents to plan and reason in dynamic environments. Recent ...
One of the intriguing puzzles within the realm of neural network generalization is a phenomenon known as “grokking.” It involves a neural network achieving perfect training accuracy but displaying ...
Reinforcement Learning (RL) is becoming increasingly popular among relevant researchers, especially after DeepMind’s acquisition by Google and its subsequent success in AlphaGo. Here, I will review a ...
Powerful pretrained large language models (LLMs) have achieved great success in natural language processing and have recently shown their ability to automate code-generation based on informal natural ...
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