The Qwen 2.0 models, a family of AI models ranging from half a billion to 72 billion parameters, have been released. These models are noted for their multilingual capabilities and strong performance ...
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Enabling small language models to solve complex reasoning tasks
As language models (LMs) improve at tasks like image generation, trivia questions, and simple math, you might think that ...
Try Gemini 3.0 Flash via AI Studio and APIs, with up to 90% savings from context caching to cut costs on high-volume ...
Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Large language models (LLMs) have shown impressive performance on various ...
Scientists have developed a new type of artificial intelligence (AI) model that can reason differently from most large language models (LLMs) like ChatGPT, resulting in much better performance in key ...
Microsoft has announced Phi-4 — a new AI model with 14 billion parameters — designed for complex reasoning tasks, including mathematics. Phi-4 excels in areas such as STEM question-answering and ...
Manipulating content within fixed logical structures. In each of the author’s three datasets, they instantiate different versions of the logical problems. Different versions of a problem offer the ...
“We introduce our first-generation reasoning models, DeepSeek-R1-Zero and DeepSeek-R1. DeepSeek-R1-Zero, a model trained via large-scale reinforcement learning (RL) without supervised fine-tuning (SFT ...
New Delhi: A new study by researchers from IIT Delhi and an international university found that today's leading AI models perform well on simple tasks but struggle with the complex reasoning needed ...
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