What You'll Learn
"Using Large Language Models" is an engaging course designed to introduce a wide audience to the transformative potential of AI technologies, such as ChatGPT, without requiring prior technical expertise. Participants will explore the practical applications of these models in enhancing decision-making, creativity, and productivity in various settings. The course offers hands-on experience in customizing AI tools for real-world challenges, aiming to provide a deep understanding of both the opportunities and the critical considerations of employing large language models in personal and professional domains.
Course Schedule
Week 1 3 sessions
Effective Use of Large Language Models as Assistants
The first session introduces participants to the basics of large language models, emphasizing practical applications such as improving model outputs through Emotional Priming and utilizing AI for brainstorming and summarizing tasks. It features hands-on activities to transform informal vocal transcripts into structured notes, create structured data from unstructured sources, and summarize long documents. The session also highlights the importance of understanding tokens in the inference process and compares market-available and open-source large language models. Practical exercises include modifying system instructions for enhanced problem-solving and generating structured, actionable insights from informal data.
Effective Use of Large Language Models in Analysis and Critique
The second session focuses on using large language models for editing, structured data creation, and critiquing. Participants learn to apply hyperparameters to improve inference outputs, use "Chain of Thought" methods to enhance reasoning, and systematically analyze and critique plans. The session includes hands-on exercises for editing with AI and creating structured data from unstructured sources. Additionally, it covers recognizing the models' limitations and biases and customizing system prompts for enhanced user preference alignment .
Effective and Ethical Use of Large Language Models
The third session delves into aligning AI outputs with human values and ethical considerations. It teaches participants to build simple rubrics for models to follow and employ the "Expert Reviewers" strategy to improve model outputs. Furthermore, the session includes exercises on prompt optimization and reflection techniques to ensure high-quality, reliable model responses. The ethical implications of using large language models are a core theme throughout this session, encouraging participants to critically engage with both the strengths and the weaknesses of these technologies .
All times shown in Pacific Time (PT)
Who Is This Course For
This course is tailored for a broad audience, including managers, product professionals, executives, and technically inclined individuals. It focuses on the applications of ChatGPT and other large language models for non-technical users, showcasing how these technologies can enhance decision-making, creativity, and productivity across various domains. No prior technical skills or knowledge of machine learning are required, making it accessible to anyone interested in leveraging the power of AI to achieve their goals.
Join the Course
Pay what you can - accessible learning for all
We use a suggested price to prevent abuse, but if you need a larger discount, email us at liz@themultiverse.school. We offer 100% scholarships - no one is turned away for lack of funds.
Want to schedule this course for your team?
Contact us: liz@themultiverse.school