Is that a tick? Engineering a human-in-the-loop Tick ID system

If you spend time in wooded areas, you probably know how important it is to check for ticks afterward. Join us to learn about the Tick App, a citizen science project developed by researchers at UW–Madison with collaborators across the U.S. In this informative talk, we’ll show how the Tick App enables users to submit pictures of ticks they’ve found and how researchers identify what kind they are. We’ll discuss the evolution of this identification system and how we’ve started integrating AI into it.

Attendees will:

  • Discover how the Tick App enables users to submit pictures of ticks they’ve found and contribute to valuable research
  • Learn about the semi-automated, human-in-the-loop identification process used by researchers to classify tick species
  • Gain insights into the evolution of the Tick App’s overall system and the lessons learned during its development

Presenters

Enhancing enterprise IT services: Strategies for improved scaling, support and impact

Small changes can make a big difference for your enterprise offering. In this session, we will explore ways to enhance the scalability, supportability and overall impact of your enterprise IT services.

Attendees will:

  • Discover proven techniques to increase the scalability of enterprise IT services
  • Explore real-world examples of successful enterprise IT service optimizations and their tangible benefits
  • Gain a deeper understanding of the advantages associated with each approach
  • Receive guidance on implementing these strategies within their own enterprise environments

Presenter

Putting AI in your lap(top): A hands-on guide to running LLMs on your Macbook

This presentation will guide you through running a freely available large language model (LLM) locally on your own hardware. You’ll gain practical experience making your own data accessible to the model and explore various techniques to enhance its performance. The session is designed to provide a deeper understanding of LLM capabilities and limitations through hands-on demonstrations.

Attendees will:

  • Gain a clear understanding of Large Language Models and how they work
  • Learn how to set up and run the Llama2 model on your local Macbook
  • Discover how to leverage the LangChain library to interact with and extend the capabilities of LLMs
  • Understand the importance of system prompts and how to craft them to guide the model’s behavior effectively
  • Explore techniques for maintaining context and coherence in conversations with the model
  • Learn how to enhance the model’s responses by integrating relevant information from external sources
  • Discover how to represent and organize your data using embeddings to improve the model’s understanding and performance

Presenter