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Course Outline
Introduction to DeepSeek LLM Fine-Tuning
- Overview of DeepSeek models, such as DeepSeek-R1 and DeepSeek-V3
- Understanding the necessity for fine-tuning large language models
- Comparing fine-tuning approaches with prompt engineering
Preparing the Dataset for Fine-Tuning
- Curating datasets specific to the domain of interest
- Techniques for data preprocessing and cleaning
- Tokenization and dataset formatting tailored for DeepSeek LLM
Setting Up the Fine-Tuning Environment
- Configuring GPU and TPU acceleration
- Setting up Hugging Face Transformers in conjunction with DeepSeek LLM
- Understanding hyperparameters critical for fine-tuning
Fine-Tuning DeepSeek LLM
- Implementing supervised fine-tuning techniques
- Utilizing LoRA (Low-Rank Adaptation) and PEFT (Parameter-Efficient Fine-Tuning)
- Executing distributed fine-tuning for large-scale datasets
Evaluating and Optimizing Fine-Tuned Models
- Assessing model performance using various evaluation metrics
- Strategies for handling overfitting and underfitting
- Optimizing inference speed and overall model efficiency
Deploying Fine-Tuned DeepSeek Models
- Packaging models for API deployment
- Integrating fine-tuned models into existing applications
- Scaling deployments through cloud and edge computing solutions
Real-World Use Cases and Applications
- Applications of fine-tuned LLMs in finance, healthcare, and customer support
- Case studies demonstrating industry applications
- Ethical considerations associated with domain-specific AI models
Summary and Next Steps
Requirements
- Prior experience with machine learning and deep learning frameworks
- Familiarity with transformer architectures and large language models (LLMs)
- Knowledge of data preprocessing and model training techniques
Target Audience
- AI researchers investigating LLM fine-tuning methodologies
- Machine learning engineers tasked with developing custom AI models
- Advanced developers working on implementing AI-driven solutions
21 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 4800 € + VAT*
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