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🤖The AI Revolution: Agentic Systems and Enterprise Transformation These materials offer a comprehensive look at the rapidly advancing ecosystem of artificial intelligence moving into 2026. They detail the transition from standard language models like ChatGPT and GPT-4 to sophisticated reasoning engines such as OpenAI’s o1 and DeepSeek-R1, which use reinforcement learning to solve complex problems step-by-step. The sources explore practical applications ranging from autonomous AI agents in healthcare and finance to automated DevOps workflows for code debugging and infrastructure management. Educational tutorials emphasize the importance of prompt engineering and frameworks like LangChain, teaching users how to build custom tools for data analysis and content creation. Furthermore, the texts examine specialised coding assistants like Codex and CodeRabbit, alongside evaluation benchmarks designed to measure the safety and intelligence of these emerging technologies. Overall, the collection highlights how integrated AI systems are evolving to perform high-level tasks with increasing transparency and human-like logic.