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Stanford U & Google’s Generative Agents Produce Believable Proxies of Human Behaviours

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 ...
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MIT Researchers Unveil “SEAL”: A New Step Towards Self-Improving AI

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 ...
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Tree Boosting With XGBoost – Why Does XGBoost Win “Every” Machine Learning Competition?

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 ...
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Beyond Next-Token Prediction? Meta’s Novel Architectures Spark Debate on the Future of Large Language Models

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 ...
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AI Self-Evolution: How Long-Term Memory Drives the Next Era of Intelligent Models

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, ...
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Microsoft’s UPRISE Automatically Retrieves Prompts to Boost the Zero-Shot Performance of Large Language Models

Pretrained large language models (LLMs) have emerged as a driving force in the evolution of AI systems, and the global race is on to make such models even more powerful. Promising research directions ...
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Zhipu.AI’s Open-Source Power Play: Blazing-Fast GLM Models & Global Expansion Ahead of Potential IPO

Beijing, China – April 15, 2025 – In a strategic move that underscores its technological prowess and global ambitions, potentially paving the way for a future IPO, Chinese AI company Zhipu.AI has ...
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Stanford U’s Tutor CoPilot Transforms Real-Time Tutoring with AI-Driven Expert Guidance

Generative AI, including Language Models (LMs), holds the promise to reshape key sectors like education, healthcare, and law, which rely heavily on skilled professionals to navigate complex ...
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Tool Up! DeepMind, Princeton & Stanford’s LATM Enables LLMs to Make Their Own Tools

The 19th-century British philosopher Thomas Carlyle ascribed human progress to a key historical development: “Man is a tool-using animal. Without tools he is nothing, with tools he is all.” While ...
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CMU’s Unlimiformer Augments Transformers to Enable Unbounded Input Lengths

Transformer-based models debuted in 2017 and have come to dominate the natural language processing (NLP) domain. Transformers convert their text inputs into tokens representing words, subwords, ...
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Adobe Research Unlocking Long-Term Memory in Video World Models with State-Space Models

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 ...
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2020 in Review: 10 AI Failures

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 ...