AI & RoboticsNews

Former DeepSeeker and collaborators release new method for training reliable AI agents: RAGEN

2025 was, by many expert accounts, supposed to be the year of AI agents — task-specific AI implementations powered by leading large language and multimodal models (LLMs) like the kinds offered by OpenAI, Anthropic, Google, and DeepSeek. But so far, most AI agents remain stuck as experimental pilots in a kind of corporate purgatory, according to a recent poll conducted by VentureBeat on the…
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AI & RoboticsNews

New open source AI company Deep Cogito releases first models and they’re already topping the charts

Deep Cogito, a new AI research startup based in San Francisco, officially emerged from stealth today with Cogito v1, a new line of open source large language models (LLMs) fine-tuned from Meta’s Llama 3.2 and equipped with hybrid reasoning capabilities — the ability to answer quickly and immediately, or “self-reflect” like OpenAI’s “o” series and DeepSeek R1. The company aims to push…
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AI & RoboticsNews

LLMs Power AI: Exploring Transformer Architecture

Today, virtually every cutting-edge AI product and model uses a transformer architecture. Large language models (LLMs) such as GPT-4o, LLaMA, Gemini and Claude are all transformer-based, and other AI applications such as text-to-speech, automatic speech recognition, image…
AI & RoboticsNews

LLMs Generalize Better with Less Hand-Labeled Training

Large Language models(LLMs) can generalize better when left to create their own solutions, a new study by Hong Kong University and University of California, Berkeley, shows. The findings, which apply to both large language models (LLMs) and vision language models (VLMs), challenge one of the main beliefs of the LLM community — that models require hand-labeled training examples. In fact, the…
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