A hands on introduction to Large Language Models like Bing Chat and ChatGPT
Event run 7 June at the MQ Incubator. Event description:
A two-hour hands-on workshop giving a brief history of the last 4 months of development of "Generative AI."
These tools, these Large Language Models, offer present promise and peril -- disruption -- to ways of working and of...
Keywords: Large Language Model, ChatGPT
A hands on introduction to Large Language Models like Bing Chat and ChatGPT
https://osf.io/rd24y/
https://dresa.org.au/materials/a-hands-on-introduction-to-large-language-models-like-bing-chat-and-chatgpt
Event run 7 June at the MQ Incubator. Event description:
A two-hour hands-on workshop giving a brief history of the last 4 months of development of "Generative AI."
These tools, these Large Language Models, offer present promise and peril -- disruption -- to ways of working and of learning. Outside the "hype," these tools are "calculators for words" and allow the same manipulation and reflection of a user's words as a calculator offers for a user's numbers.
The workshop will guide users into using various free and paid tools, and the effective use of Large Language Models through chain of thought prompting.
Remember: a LLM is "Always confident and usually correct."
OSF Description (LLM generated):
This two-hour workshop provides a comprehensive introduction to the world of Large Language Models (LLMs), focusing on the recent advancements in Generative AI. Participants will gain insights into the development and functionality of prominent LLMs such as Bing Chat and ChatGPT. The workshop will delve into the concept of LLMs as "calculators for words," highlighting their potential to revolutionize ways of working and learning.
The session will explore the principles of Prompt Engineering and Transactional Prompting, demonstrating how consistent prompts can yield reliable and reproducible results. Participants will also learn about the practical applications of LLMs, including editing and proofreading papers, generating technical documentation, recipe ideation, and more.
The workshop emphasizes the importance of understanding the terms of use and the responsibilities that come with using these powerful AI tools. By the end of the session, participants will be equipped with the knowledge and skills to effectively use LLMs in various contexts, guided by the mantra that a LLM is "Always confident and usually correct."
Brian Ballsun-Stanton (brian.ballsun-stanton@mq.edu.au)
Brian Ballsun-Stanton
Large Language Model, ChatGPT
researcher
Introducing Computational Thinking
This workshop is for researchers at all career stages who want to understand the uses and the building blocks of computational thinking. This skill is useful for all kinds of problem solving, whether in real life or in computing.
The workshop will not teach computer programming per se. Instead...
Keywords: computational skills, data skills
Resource type: tutorial
Introducing Computational Thinking
https://griffithunilibrary.github.io/intro-computational-thinking/
https://dresa.org.au/materials/introducing-computational-thinking
This workshop is for researchers at all career stages who want to understand the uses and the building blocks of computational thinking. This skill is useful for all kinds of problem solving, whether in real life or in computing.
The workshop will not teach computer programming per se. Instead it will cover the thought processes involved should you want to learn to program.
s.stapleton@griffith.edu.au
Belinda Weaver
computational skills, data skills
