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Course Outline
Introduction to Generative AI and Large Language Models
- Evolution and overview of generative AI.
- Introduction to LLMs: Exploring GPT, BERT, and their capabilities.
- Comparing generative models with traditional NLP methods.
Transformer Architecture and Model Training
- Deep dive into the transformer architecture used in LLMs.
- Understanding self-attention mechanisms and language modeling.
- Processes for training large language models and fine-tuning.
Prompt Engineering for Effective Interaction
- Designing prompts to generate accurate and valuable outputs.
- Refining prompt strategies for diverse applications.
- Testing prompt variations to optimize responses.
Applications of LLMs in Business
- Automating customer service through conversational AI.
- Leveraging LLMs for content generation in marketing and media.
- Utilizing LLMs for data analysis and report automation.
Ethical Considerations and Bias Management
- Detecting potential biases within LLM-generated content.
- Addressing ethical issues related to generative AI applications.
- Best practices for the responsible deployment of LLMs.
Advanced Techniques in LLMs
- Fine-tuning LLMs for domain-specific needs.
- Integrating LLMs with other AI systems to boost functionality.
- Exploring multilingual and cross-lingual capabilities.
The Future of Generative AI in Business
- Emerging trends in generative AI and LLM research.
- Opportunities and challenges in scaling LLM solutions.
- Preparing organizations for AI-driven transformation.
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 specialists seeking to leverage generative AI technologies.
- Business professionals interested in automation and content generation tools.
- Technical managers and executives aiming to integrate LLMs into their operational workflows.
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)
