The SSA, with the support from the ABS, proudly introduces Large Language Models for R Users presented by Dr Emi Tanaka. This livestream introduces the fundamental concepts of large language models (LLMs), including its architecture (tokenization, embedding, neural network, and transformer model), its general training process and its usage with prompt engineering and parameter selection. Practical applications will be demonstrated using OpenAI LLMs and local Ollama models through R. Participants will have access to all the slides and code used in the demonstration, so you can replicate the analyses and continue exploring LLMs on your own machines. The session will include interactive Q&A via Zoom chat, with live responses and email follow-ups for curated unanswered questions.
About the presenter:
Dr Emi Tanaka is an Applied Statistician and Deputy Director at the Biological Data Science Institute at the Australian National University. Her primary interest is developing impactful methods and tools practitioners can readily use. She delivers numerous statistical workshops including data visualisation, data wrangling, reproducible practices, statistical modelling and statistical consulting. She was the inaugural recipient of the SSA Distinguished Presenter's Award based on the delivery of her workshops.
Required:
- Proficient in R programming basics,
- Own laptop/desktop with admin access and Zoom, and
- Stable internet access.
Desirable:
- Prior experience or knowledge of machine learning methods.
- For those who wish to follow along: Installation of Ollama (https://ollama.com) OR a developer account on OpenAI (https://platform.openai.com/) with some small credit, say US$5 (see Billing under Your profile).
Cancellation Policy:
Occasionally workshops have to be cancelled due to a lack of subscription. Early registration ensures that this will not happen.
Cancellations received prior to two weeks before the event will be refunded, minus the Stripe processing fee (1.75% + $0.30 per transaction) and an SSA administration fee of $20.
From then onward no part of the registration fee will be refunded. However, registrations are transferable within the same organisation. Please advise any changes to events@statsoc.org.au.
For any questions, please email events@statsoc.org.au
@StatSocAus
