Chain-of-Thought (CoT)

Microsoft's recent release of Phi-4-reasoning challenges a key assumption in constructing artificial intelligence systems able to reasoning. Because the introduction of chain-of-thought reasoning in 2022, researchers believed that advanced reasoning required very large language...

As artificial intelligence (AI) is widely utilized in areas like healthcare and self-driving cars, the query of how much we are able to trust it becomes more critical. One method, called chain-of-thought (CoT) reasoning,...

A couple of decade ago, artificial intelligence was split between image recognition and language understanding. Vision models could spot objects but couldn’t describe them, and language models generate text but couldn’t “see.” Today, that...

Large Language Models (LLMs) have significantly advanced natural language processing (NLP), excelling at text generation, translation, and summarization tasks. Nevertheless, their ability to interact in logical reasoning stays a challenge. Traditional LLMs, designed to...

Large language models (LLMs) like OpenAI’s o3, Google’s Gemini 2.0, and DeepSeek’s R1 have shown remarkable progress in tackling complex problems, generating human-like text, and even writing code with precision. These advanced LLMs are...