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Course Outline
Introduction to Low-Rank Adaptation (LoRA)
- What is LoRA?
- Benefits of LoRA for efficient fine-tuning.
- Comparison with traditional fine-tuning methods.
Understanding Fine-Tuning Challenges
- Limitations of traditional fine-tuning.
- Computational and memory constraints.
- Why LoRA is an effective alternative.
Setting Up the Environment
- Installing Python and required libraries.
- Setting up Hugging Face Transformers and PyTorch.
- Exploring LoRA-compatible models.
Implementing LoRA
- Overview of LoRA methodology.
- Adapting pre-trained models with LoRA.
- Fine-tuning for specific tasks (e.g., text classification, summarization).
Optimizing Fine-Tuning with LoRA
- Hyperparameter tuning for LoRA.
- Evaluating model performance.
- Minimizing resource consumption.
Hands-On Labs
- Fine-tuning BERT with LoRA for text classification.
- Applying LoRA to T5 for summarization tasks.
- Exploring custom LoRA configurations for unique tasks.
Deploying LoRA-Tuned Models
- Exporting and saving LoRA-tuned models.
- Integrating LoRA models into applications.
- Deploying models in production environments.
Advanced Techniques in LoRA
- Combining LoRA with other optimization methods.
- Scaling LoRA for larger models and datasets.
- Exploring multimodal applications with LoRA.
Challenges and Best Practices
- Avoiding overfitting with LoRA.
- Ensuring reproducibility in experiments.
- Strategies for troubleshooting and debugging.
Future Trends in Efficient Fine-Tuning
- Emerging innovations in LoRA and related methods.
- Applications of LoRA in real-world AI.
- Impact of efficient fine-tuning on AI development.
Summary and Next Steps
Requirements
- Foundational understanding of machine learning concepts.
- Familiarity with Python programming.
- Experience with deep learning frameworks such as TensorFlow or PyTorch.
Audience
- Developers.
- AI practitioners.
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.
Price per private group, online live training, starting from 2600 € + VAT*
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