Customized Generative AI Agent for Transportation Engineering Practice: A Development and Continued Pre-training Guideline
📰 ArXiv cs.AI
Learn to develop and fine-tune a customized generative AI agent for transportation engineering practice, enhancing its performance in specialized domains
Action Steps
- Develop a baseline model using a pre-trained LLM
- Gather a dataset of transportation engineering texts and terminology
- Fine-tune the model on the collected dataset
- Evaluate the model's performance on specific tasks
- Continuously update and expand the model's training data
Who Needs to Know This
Transportation engineers and AI researchers can benefit from this guideline to improve the accuracy and efficiency of their work, and to automate complex tasks
Key Insight
💡 Customized generative AI agents can outperform general-purpose models in specialized domains like transportation engineering
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🚗💡 Customized generative AI for transportation engineering! 🚀
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