Chain-of-Thought prompting

Can We Really Trust AI’s Chain-of-Thought Reasoning?

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,...

Reinforcement Learning Meets Chain-of-Thought: Transforming LLMs into Autonomous Reasoning Agents

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...

From OpenAI’s O3 to DeepSeek’s R1: How Simulated Considering Is Making LLMs Think Deeper

Large language models (LLMs) have evolved significantly. What began as easy text generation and translation tools are actually getting used in research, decision-making, and sophisticated problem-solving. A key think about this shift is the...

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