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Course Outline
Introduction to Model Fine-Tuning on Ollama
- Understanding the need for fine-tuning AI models
- Key benefits of customisation for specific applications
- Overview of Ollama’s capabilities for fine-tuning
Setting Up the Fine-Tuning Environment
- Configuring Ollama for AI model customisation
- Installing required frameworks (PyTorch, Hugging Face, etc.)
- Ensuring hardware optimization with GPU acceleration
Preparing Datasets for Fine-Tuning
- Data collection, cleaning, and preprocessing
- Labeling and annotation techniques
- Best practices for dataset splitting (training, validation, testing)
Fine-Tuning AI Models on Ollama
- Choosing the right pre-trained models for customisation
- Hyperparameter tuning and optimization strategies
- Fine-tuning workflows for text generation, classification, and more
Evaluating and Optimizing Model Performance
- Metrics for assessing model accuracy and robustness
- Addressing bias and overfitting issues
- Performance benchmarking and iteration
Deploying Customised AI Models
- Exporting and integrating fine-tuned models
- Scaling models for production environments
- Ensuring compliance and security in deployment
Advanced Techniques for Model Customisation
- Using reinforcement learning for AI model improvements
- Applying domain adaptation techniques
- Exploring model compression for efficiency
Future Trends in AI Model Customisation
- Emerging innovations in fine-tuning methodologies
- Advancements in low-resource AI model training
- Impact of open-source AI on enterprise adoption
Summary and Next Steps
Requirements
- Strong understanding of deep learning and LLMs
- Experience with Python programming and AI frameworks
- Familiarity with dataset preparation and model training
Audience
- AI researchers exploring model fine-tuning
- Data scientists optimizing AI models for specific tasks
- LLM developers building customised language models
14 Hours
Custom Corporate Training
Training solutions designed exclusively for businesses.
- Customised Content: We adapt the syllabus and practical exercises to the real goals and needs of your project.
- Flexible Schedule: Dates and times adapted to your team's agenda.
- Format: Online (live), In-company (at your offices), or Hybrid.
Price per private group, online live training, starting from £3200 + VAT*
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