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AI agents in 2025 remain one of the most promising approaches for solving complex tasks using large language models. These agents are autonomous and capable of selecting various tools on their own to accomplish assigned tasks. This approach enables achieving results with less human involvement and higher quality. It also opens up opportunities for discovering more original and effective ways of dealing with problems. Instead of just formulating a task, you instruct

The development of generative neural networks has accelerated significantly in recent years. They’ve become noticeably faster and more accurate in their responses and have learned to reason. However, their capabilities are still fundamentally limited by their architecture. For example, every existing LLM at the time of writing has a knowledge cutoff date. This means that with each passing day, such an LLM becomes more likely to produce incorrect answers, simply because it