Workflow Automation with LLMs: Practical Guide for 2025
DOI:
https://doi.org/10.65923/8dzh3s21Keywords:
Large Language Models, Workflow Automation, AI Integration, Process Optimization, Ethical AI, Scalability, Natural Language Processing, Machine Learning Tools, Business Efficiency, Future TrendsAbstract
In the rapidly evolving landscape of artificial intelligence, large language models (LLMs) have emerged as transformative tools for automating workflows across various industries. This practical guide explores how LLMs can streamline processes, enhance efficiency, and drive innovation in 2025. By delving into the fundamentals, tools, design strategies, real-world applications, and potential challenges, the paper provides actionable insights for professionals seeking to implement LLM-driven automation. Emphasizing a balance between technological capabilities and ethical considerations, it aims to equip readers with the knowledge to build robust, scalable systems that adapt to dynamic business needs. Through detailed explanations and examples, this guide underscores the potential of LLMs to revolutionize traditional workflows, reducing manual intervention while amplifying human creativity and decision-making.
