LLMs problem-solving

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...

DeepMind’s Mind Evolution: Empowering Large Language Models for Real-World Problem Solving

Lately, artificial intelligence (AI) has emerged as a practical tool for driving innovation across industries. On the forefront of this progress are large language models (LLMs) known for his or her ability to know...

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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