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Course Outline
Introduction to Multimodal AI and Ollama for Government
- Overview of multimodal learning
- Key challenges in vision-language integration
- Capabilities and architecture of Ollama
Setting Up the Ollama Environment for Government
- Installing and configuring Ollama for government use
- Working with local model deployment in a secure environment
- Integrating Ollama with Python and Jupyter for enhanced analysis
Working with Multimodal Inputs for Government
- Text and image integration to support government operations
- Incorporating audio and structured data for comprehensive analysis
- Designing preprocessing pipelines tailored for government workflows
Document Understanding Applications for Government
- Extracting structured information from PDFs and images to improve document management
- Combining OCR with language models to enhance data accuracy
- Building intelligent document analysis workflows to support decision-making processes
Visual Question Answering (VQA) for Government
- Setting up VQA datasets and benchmarks for government-specific use cases
- Training and evaluating multimodal models to meet public sector needs
- Building interactive VQA applications to support government services
Designing Multimodal Agents for Government
- Principles of agent design with multimodal reasoning for government applications
- Combining perception, language, and action to enhance public sector operations
- Deploying agents for real-world use cases in the government domain
Advanced Integration and Optimization for Government
- Fine-tuning multimodal models with Ollama to optimize performance for government tasks
- Optimizing inference performance to ensure efficient resource utilization
- Scalability and deployment considerations for government infrastructure
Summary and Next Steps for Government
Requirements
- Demonstrated expertise in machine learning principles
- Practical experience with deep learning frameworks, including PyTorch or TensorFlow
- Knowledge of natural language processing and computer vision techniques
Audience for Government
- Machine learning engineers
- Artificial intelligence researchers
- Product developers focused on integrating vision and text workflows in public sector applications
21 Hours
