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

advanced Published 30 Jun 2026
Action Steps
  1. Develop a baseline model using a pre-trained LLM
  2. Gather a dataset of transportation engineering texts and terminology
  3. Fine-tune the model on the collected dataset
  4. Evaluate the model's performance on specific tasks
  5. 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

Share This
🚗💡 Customized generative AI for transportation engineering! 🚀
Read full paper → ← Back to Reads

Related Videos

5 Levels of AI Agents - From Simple LLM Calls to Multi-Agent Systems
5 Levels of AI Agents - From Simple LLM Calls to Multi-Agent Systems
Dave Ebbelaar (LLM Eng)
Chapter 3: Looking Inside Large Language Models | Hands-On Large Language Models Book
Chapter 3: Looking Inside Large Language Models | Hands-On Large Language Models Book
onepagecode
Hands-On Large Language Models | Chapter 7: Advanced Text Generation Techniques
Hands-On Large Language Models | Chapter 7: Advanced Text Generation Techniques
onepagecode
Hands-On LLMs - Chapter 1: An Introduction to Large Language Models
Hands-On LLMs - Chapter 1: An Introduction to Large Language Models
onepagecode
Chapter 2: Tokens and Embeddings | Hands-On Large Language Models Book
Chapter 2: Tokens and Embeddings | Hands-On Large Language Models Book
onepagecode
Hands-On Large Language Models | Chapter 5: Text Clustering and Topic Modeling
Hands-On Large Language Models | Chapter 5: Text Clustering and Topic Modeling
onepagecode