Different Types of AI Models and How to Use Them

Artificial intelligence (AI) is advancing rapidly, with tools like large language models (LLMs), computer vision, and vision-language models transforming various industries by solving complex problems. For instance, BNSF Railway Company utilizes AI for real-time yard management, enhancing logistical efficiency. AI encompasses several domains, including natural language processing, machine learning, and computer vision, each serving distinct purposes like text analysis or image recognition. AI models are mathematical constructs designed for tasks such as classification and prediction, built through data gathering and training. They range from specialized models addressing specific issues to foundational models that serve as adaptable bases for more refined applications. Various AI models, such as ChatGPT, Claude 3, and YOLOv8, demonstrate capabilities across tasks like text generation, object detection, and multimodal processing. The development and deployment of these models involve frameworks that transition from training to production, allowing for implementation across different sectors. Platforms like Roboflow offer tools for deploying visual AI solutions, showcasing the tangible impact of AI, such as significant cost savings in manufacturing through automated defect detection.