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Course Outline

Introduction to Model Fine-Tuning on Ollama

  • Understanding the necessity of fine-tuning AI models.
  • Key benefits of customization for specific applications.
  • Overview of Ollama’s capabilities for fine-tuning.

Setting Up the Fine-Tuning Environment

  • Configuring Ollama for AI model customization.
  • 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

  • Selecting the appropriate pre-trained models for customization.
  • Hyperparameter tuning and optimization strategies.
  • Fine-tuning workflows for text generation, classification, and other tasks.

Evaluating and Optimizing Model Performance

  • Metrics for assessing model accuracy and robustness.
  • Addressing bias and overfitting issues.
  • Performance benchmarking and iterative refinement.

Deploying Customized AI Models

  • Exporting and integrating fine-tuned models.
  • Scaling models for production environments.
  • Ensuring compliance and security during deployment.

Advanced Techniques for Model Customization

  • Utilizing reinforcement learning for AI model improvements.
  • Applying domain adaptation techniques.
  • Exploring model compression for enhanced efficiency.

Future Trends in AI Model Customization

  • 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

  • Proficient understanding of deep learning and LLMs.
  • Experience with Python programming and AI frameworks.
  • Familiarity with dataset preparation and model training processes.

Audience

  • AI researchers investigating model fine-tuning.
  • Data scientists optimizing AI models for specific tasks.
  • LLM developers creating customized language models.
 14 Hours

Custom Corporate Training

Training solutions designed exclusively for businesses.

  • Customized 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.
Investment

Price per private group, online live training, starting from 2600 € + VAT*

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