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
Testimonials (3)
Ability to use the copilot feature on my own license as the course material was progressing
- Teleflex Medical Europe Ltd
Course - Copilot for Finance and Accounting Professionals
Excellect knowledge level of the trainer
Pawel Dykowski - LKQ Polska Sp. z o. o.
Course - Microsoft 365 Copilot Chat for Word, Excel, PowerPoint, and Outlook
1. Structured prompts and related technique to have it like this 2. working with practical examples - prompts already well prepared 3. Learned how to create an AI agent
