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Course Outline
Introduction to Generative Artificial Intelligence and Large Language Models
- Overview of generative artificial intelligence (AI) and its development trajectory
- Introduction to large language models (LLMs), including GPT, BERT, and their capabilities
- Comparison of generative models with traditional natural language processing (NLP) methods
Transformer Architecture and Model Training
- Understanding the transformer architecture in LLMs for government applications
- Self-attention mechanism and its role in language modeling
- Training processes for large language models and techniques for fine-tuning
Prompt Engineering for Effective Interaction
- Techniques for crafting prompts to elicit accurate and useful outputs
- Strategies for refining prompt methodologies to suit diverse applications
- Methods for experimenting with different prompt variations to optimize responses
Applications of LLMs in Business
- Automating customer service through conversational AI solutions
- Generating content for marketing and media purposes
- Utilizing LLMs for data analysis and report generation in business contexts
Ethical Considerations and Bias Management
- Identifying potential biases in LLM-generated content for government use
- Addressing ethical concerns associated with generative AI applications
- Strategies for the responsible deployment of LLMs in various sectors
Advanced Techniques in LLMs
- Fine-tuning LLMs for specific domain applications, including those relevant to government operations
- Integrating LLMs with other AI systems to enhance overall functionality
- Exploring the multilingual and cross-lingual capabilities of LLMs
The Future of Generative AI in Business
- Emerging trends in generative AI and LLM research for government applications
- Opportunities and challenges in scaling LLM solutions across industries
- Preparing organizations for the transformative impact of AI-driven technologies
Summary and Next Steps
Requirements
- Fundamental knowledge of machine learning and natural language processing concepts
- Proficiency in Python programming
Audience
- Data scientists and AI professionals interested in generative AI technologies for government and other sectors
- Business leaders exploring automation and content generation solutions
- Technical managers and decision-makers aiming to integrate large language models into their workflows for government operations
14 Hours
Testimonials (2)
The interactive style, the exercises
Tamas Tutuntzisz
Course - Introduction to Prompt Engineering
A great repository of resources for future use, instructor's style (full of good sense of humor, great level of detail)
