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Large Language Models (LLMs) have shown exceptional capabilities in complex reasoning tasks through recent advancements in scaling and specialized training approaches. While models...
After the advent of LLMs, AI Research has focused solely on the development of powerful models day by day. These cutting-edge new models...
In large language models (LLMs), processing extended input sequences demands significant computational and memory resources, leading to slower inference and higher hardware costs....
Adapting large language models for specialized domains remains challenging, especially in fields requiring spatial reasoning and structured problem-solving, even though they specialize in...
Language models have become increasingly expensive to train and deploy. This has led researchers to explore techniques such as model distillation, where a...
AI has witnessed rapid advancements in NLP in recent years, yet many existing models still struggle to balance intuitive responses with deep, structured...
AI chatbots create the illusion of having emotions, morals, or consciousness by generating natural conversations that seem human-like. Many users engage with AI...
Large language models (LLMs) have demonstrated exceptional problem-solving abilities, yet complex reasoning tasks—such as competition-level mathematics or intricate code generation—remain challenging. These tasks...