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Duration 14 hours
Course Outline
Introduction to Generative AI and Large Language Models
- Overview of generative AI and its development trajectory
- Introduction to LLMs: Capabilities of GPT, BERT, and similar models
- Comparison of generative models with conventional NLP methodologies
Transformer Architecture and Model Training
- Analyzing the transformer architecture within LLMs
- Self-attention mechanisms and the process of language modeling
- Training large language models and the fine-tuning procedure
Prompt Engineering for Effective Interaction
- Designing prompts for precise and valuable outputs
- Refining prompt strategies for diverse application scenarios
- Testing prompt variations to enhance response quality
Business Applications of LLMs
- Leveraging conversational AI to automate customer service
- Generating content for marketing and media sectors
- Utilizing LLMs in data analysis and automated report creation
Ethical Considerations and Bias Management
- Detecting potential biases in content generated by LLMs
- Mitigating ethical concerns in generative AI applications
- Strategies for the responsible deployment of LLMs
Advanced Techniques in LLMs
- Fine-tuning LLMs for domain-specific use cases
- Integrating LLMs with other AI systems to boost functionality
- Investigating multilingual and cross-lingual capabilities
The Future of Generative AI in Business
- Current trends in generative AI and LLM research
- Opportunities and challenges in scaling LLM-based solutions
- Preparing for AI-driven transformation in the business landscape
Summary and Next Steps
Requirements
- Foundational knowledge of machine learning and natural language processing concepts
- Proficiency in Python programming
Target Audience
- Data scientists and AI practitioners focused on generative AI technologies
- Business professionals investigating automation and content generation
- Technical managers and decision-makers aiming to integrate LLMs into their workflows
Testimonials (3)
Comprehensiveness about the backround; how to do a prompt.
Olaf Kannt - Helios Klinikum Krefeld
Course - Generative AI and Prompt Engineering in Healthcare
the tips and recommended prompts that we can take away from this training
Lee Mei Lin - ST Engineering IHQ Pte Ltd
Course - InVideo AI: Creating Engaging Short-Form Videos
use of proper and effective prompt
