Ollama Training in Astana, Kazakhstan

Ollama is a platform for running large language models (LLMs) locally, enabling fast and efficient AI-powered applications. This course will cover:

• Introduction to Ollama and LLMs

• Installation and setup for local execution

• Managing and running models efficiently

• Fine-tuning models for specific tasks

• Optimizing performance and resource utilization

• Deploying and integrating Ollama into applications

Course Agenda

Introduction to Ollama

• Overview of Ollama and its benefits

• Comparing Ollama with cloud-based LLMs

• Use cases and real-world applications

Setting Up Ollama

• Installing Ollama on different platforms

• Understanding Ollama CLI commands

• Managing local model storage

Running and Managing Models

• Loading pre-trained models

• Configuring and executing LLMs locally

• Handling model performance and resource usage

Fine-Tuning Models

• Understanding fine-tuning techniques

• Customizing models for specific use cases

• Training best practices and parameter tuning

Optimizing Performance

• Managing GPU and CPU utilization

• Model quantization and optimization

• Performance benchmarking and troubleshooting

Integrating Ollama with Applications

• Using Ollama for chatbot development

• API integration and automation workflows

• Deploying models in production environments

Security and Ethical Considerations

• Data privacy and security best practices

• Ethical AI considerations in local deployments

• Compliance with AI regulations