Using LLMs from R: Gemini API, RAG Workflows & RStudio
Join us for an engaging and interactive workshop tailored for researchers and students eager to integrate AI into their R workflows! Dive into the essentials of implementing Large Language Model (LLM) queries within your analysis pipelines.
📚 Expect an intensive, hands-on session where you'll explore through provided R scripts that illustrate common AI workflows. By participating, you will develop a practical understanding of:
- Local Large Language Models: Discover the advantages and considerations of employing local models for tasks like text summarization, data generation, and more, all within your R environment.
- Cloud-Based Model Access via API: Learn how to interact with state-of-the-art (SOTA) LLMs, unlocking advanced AI capabilities for tasks such as sentiment analysis, intricate data extraction, and creative text generation without the need for substantial local computing resources.
- AI in Scientific Research: Gain hands-on experience tackling diverse scientific domain challenges, complete with replicable examples for your own workflows.
💻 This course will consist of practical exercises and live coding demonstrations that will solidify your learning and boost your confidence!
Requirements:
- A Google account for using Colab with R: Colab
- An API key from AI Studio for accessing web-based models.
- A Kaggle account (you can sign in using your Google credentials) to download AI models: Kaggle
- R familiarity is recommended - but don't worry, we will guide you through every detail!
📍 Location: 48 Pirrama Rd, 2009, Pyrmont
🎟️ Get your ticket here!
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