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Course Outline
Introduction to DeepSeek LLM Fine-Tuning for Government
- Overview of DeepSeek models, including DeepSeek-R1 and DeepSeek-V3
- Understanding the necessity of fine-tuning large language models (LLMs)
- Comparison between fine-tuning and prompt engineering techniques
Preparing the Dataset for Fine-Tuning
- Curating datasets specific to domain requirements
- Data preprocessing and cleaning methodologies
- Tokenization and dataset formatting tailored for DeepSeek LLMs
Setting Up the Fine-Tuning Environment
- Configuring GPU and TPU acceleration for optimal performance
- Setting up Hugging Face Transformers to work with DeepSeek LLMs
- Understanding and configuring hyperparameters for fine-tuning
Fine-Tuning DeepSeek LLM
- Implementing supervised fine-tuning methods
- Utilizing Low-Rank Adaptation (LoRA) and Parameter-Efficient Fine-Tuning (PEFT)
- Executing distributed fine-tuning for large-scale datasets
Evaluating and Optimizing Fine-Tuned Models
- Assessing model performance using evaluation metrics
- Managing issues of overfitting and underfitting
- Enhancing inference speed and model efficiency
Deploying Fine-Tuned DeepSeek Models for Government
- Packaging models for API deployment in government systems
- Integrating fine-tuned models into various applications
- Scaling deployments using cloud and edge computing resources
Real-World Use Cases and Applications
- Fine-tuned LLMs for finance, healthcare, and customer support in government agencies
- Case studies of industry applications relevant to public sector workflows
- Ethical considerations in the deployment of domain-specific AI models
Summary and Next Steps for Government
Requirements
- Experience with machine learning and deep learning frameworks for government applications
- Familiarity with transformers and large language models (LLMs) in public sector contexts
- Understanding of data preprocessing and model training techniques aligned with government standards
Audience
- AI researchers exploring LLM fine-tuning for government projects
- Machine learning engineers developing custom AI models for government use
- Advanced developers implementing AI-driven solutions for government agencies
21 Hours
