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Course Outline
Introduction to Ollama for Government
- What is Ollama and how does it function?
- Advantages of deploying AI models locally in government settings
- Overview of supported Large Language Models (LLMs) such as Llama, DeepSeek, Mistral, etc.
Installing and Setting Up Ollama for Government
- System requirements and hardware considerations for government use
- Installing Ollama on various operating systems used in government agencies
- Configuring dependencies and environment setup to meet government standards
Running AI Models Locally for Government
- Downloading and loading AI models into Ollama for government applications
- Interacting with models via the command line in a secure government environment
- Basic prompt engineering for local AI tasks within government workflows
Optimizing Performance and Resource Usage for Government
- Managing hardware resources to ensure efficient AI execution in government operations
- Reducing latency and enhancing model response time for government applications
- Benchmarking performance of different models to meet government standards
Use Cases for Local AI Deployment in Government
- AI-powered chatbots and virtual assistants for enhanced citizen services
- Data processing and automation tasks to streamline government operations
- Privacy-focused AI applications to protect sensitive government data
Summary and Next Steps for Government
Requirements
- Basic understanding of artificial intelligence and machine learning concepts for government
- Familiarity with command-line interfaces
Audience
- Developers deploying AI models without cloud dependencies in public sector environments
- Business professionals interested in AI privacy and cost-effective deployment for government operations
- AI enthusiasts exploring local model deployment within government agencies
7 Hours
