RMIT LLM Learning:
How the rapidly evolving world of large language models (LLM's) like Chat GPT, Bard and Dalle-2 will shape the future of work. 👷♂️
"40% of working hours across
industries can be impacted by
Large Language Models"
- Accenture 2023
Are you developing a skillset that prepares you for this new world?
Work time distribution by major occupation and potential AI impact:
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High potential for automation
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Higher potential for augmentation
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Lower potential for augmentation for automation
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Non-language tasks
Accenture 2023
What is prompt engineering?
Bad prompt.. 🙅♂️
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Input: You asked for a "200 word brief" about a "12-week Chat GPT course."
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Key Words: I picked up important words like "200 word brief" (which tells me the length and type of response), "communicates" (which tells me to explain something), "desirability" (which tells me to highlight the benefits), "12-week" (the length of the course), and "Chat GPT course" (the subject).
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Response: Using these key words, I created a response that is about 200 words long, explaining why a 12-week Chat GPT course is desirable.
Good prompt.. 🙌
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Input: The input prompt contains key terms like "AI technologies", "university sector", "12-week Chat GPT program", "industry trends", "data insights", "professional insights".
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Processing: GPT-4 identifies these key terms and the context of the query, understanding the need for a brief on the potential impact of a GPT-4 program in the university sector.
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Output: GPT-4 generates a response that discusses the importance and desirability of such a program, provides relevant industry trends and data insights, and outlines the potential benefits of the program.
Why should I care?
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Employment opportunities
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Become a LLM superstar within all aspects of your life
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Understand LLM use cases
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Promote safe and equitable use of LLMs
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Understand and shape the future of LLMs
The solution, a 12-week LLM-centric course..
Now, you can..
Week 1: Introduction to Natural Language Processing (NLP) and GPT
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Overview of NLP concepts and techniques
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Introduction to GPT models and their evolution (GPT-1, GPT-2, GPT-3, etc.)
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Applications of GPT models in various domains
Week 2: Setting Up the Environment
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Creating an account on OpenAI and obtaining API access
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Setting up a Python environment and installing necessary libraries
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Basic API usage and exploring GPT functionalities
Week 3: Text Generation and Content Creation
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Techniques for generating text using GPT models
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Controlling the quality and style of generated content
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Practical applications in blogging, social media, and creative writing
Week 4: Summarization and Text Comprehension
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Using GPT models for summarization and extracting key information
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Enhancing reading comprehension and research efficiency
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Applications in academic research and professional settings
Week 5: Sentiment Analysis and Opinion Mining
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Introduction to sentiment analysis and opinion mining
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Leveraging GPT models for sentiment analysis
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Applications in market research, customer feedback, and product reviews
Week 6: Translation and Multilingual Applications
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Using GPT models for language translation
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Strategies for optimising translation quality
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Applications in global communication and cross-cultural research
Week 7: Question-Answering Systems
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Developing question-answering systems using GPT models
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Evaluating the performance and reliability of generated answers
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Applications in customer support, tutoring, and knowledge management
Week 8: Conversational AI and Chatbots
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Building chatbots using GPT models
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Designing engaging and effective conversational experiences
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Applications in customer service, mental health support, and entertainment
Week 9: Ethical Considerations and Responsible AI
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Understanding the ethical implications of GPT usage
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Identifying and addressing biases in GPT-generated content
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Strategies for responsible AI development and deployment
Week 10: Advanced Techniques and Customization
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Fine-tuning GPT models for specific tasks or domains
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Exploring advanced features and capabilities of GPT models
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Integration with other AI tools and services
Week 11: Project Development
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Students will develop their own GPT-based projects, focusing on a specific application or domain of their choice
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Guidance and support for project development, including troubleshooting and optimization
Week 12: Project Presentations and Course Wrap-up
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Students will present their GPT-based projects to the class
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Group discussions, feedback, and reflections on the course
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Exploring future developments in GPT models and their potential applications
Where will this lead me?
Prompt engineering, and LLM powered job positions is an rapidly evolving and growing employment field; often with low barriers of entry and high remuneration..
$200,000 - $400,000
*Salary average 🤑
Job prospects..
🤖 Prompt Engineer
📝 Digital Marketeer
🧪 QA Tester
👩🔬 Data Scientist
Interested? Register interest below..👇