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Artificial intelligence has evolved into a crucial technology for enterprises, driving innovation and efficiency. Businesses are increasingly adopting advanced techniques like retrieval-augmented generation (RAG) and fine-tuning AI agents to enhance customer experiences. These methods allow organizations to automate processes and extract valuable insights from large datasets, significantly improving productivity.
RAG combines traditional search systems with generative models to provide context-aware responses, while fine-tuning customizes pre-trained models for specific industries. This dual approach not only enhances customer support but also improves decision-making and operational efficiency. By leveraging these AI capabilities, companies can better meet customer expectations and adapt to market changes.
• AI transforms enterprises by automating processes and enhancing customer experiences.
• RAG and fine-tuning improve AI's contextual understanding and operational efficiency.
RAG combines traditional search with generative models to provide accurate, context-aware responses.
Fine-tuning customizes pre-trained AI models for specific domains, enhancing their accuracy and relevance.
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