In this 90 minute tutorial we’ll get anyone with some basic Python and Command Line skills up and running with their own 100% laptop based set of LLMs, and explain some successful patterns for leveraging LLMs in a data analysis environment. We’ll also highlight pit-falls waiting to catch you out,...

   This tutorial explores the Model Context Protocol (MCP) designed to connect AI agents with external systems providing tools, data, and workflows. Attendees will build an MCP server from scratch and learn the core mechanics of the protocol.

   Learn to build practical LLM agents using LlamaBot and Marimo notebooks. This hands-on tutorial teaches the most important lesson in agent development: start with workflows, not technology. We’ll build a complete back-office automation system through three agents: a receipt processor that extracts...

   We’ll explore best practices for writing CUDA kernels using Python, empowering developers to harness the full potential of GPU acceleration. Gain a clear understanding of the structure and functionality of CUDA kernels, learning how to effectively implement them within Python applications.

   Agentic frameworks make it easy to build and deploy compelling demos. But building robust systems that use LLMs is difficult because of inherent environmental non-determinism. Each user is different, each request is different; the very flexibility that makes LLMs feel magical in-the-small also...

   In this hands-on tutorial, you’ll go from a blank notebook to a fully orchestrated data pipeline built entirely in Python, all in under 90 minutes. You’ll learn how to design and deploy end-to-end data pipelines using familiar notebook environments, using Python for your data loading, data...

   Multimodal deep learning models continue improving rapidly, but creating real-world applications that effectively leverage multiple data types remains challenging. This hands-on tutorial covers model selection, embedding storage, fine-tuning, and production deployment through two practical...

   Recommender systems power everything from e-commerce to media streaming, but most pipelines still rely on collaborative filtering or neural models that focus narrowly on user-item interactions. Large language models (LLMs), by contrast, excel at reasoning across unstructured text, contextual...

   Unlocking the full potential of AI starts with your data, but real-world documents come in countless formats and levels of complexity. This session will give you hands-on experience with Docling, an open-source Python library designed to convert complex documents into AI-ready formats. Learn how...

   The default color space for computers includes over 16 million colors"an embarrassment of riches that is also a potential quagmire to anyone considering how to best choose colors for visualizations. In this workshop, we will provide a practical framework for working with color. We will start...

   Why do male test takers consistently score about 30 points higher than female test takers on the mathematics section of the SAT? Does this reflect an actual difference in math ability, or is it an artifact of selection bias"if young men with low math ability are less likely to take the test...

   Most data science projects start with a simple notebook"a spark of curiosity, some exploration, and a handful of promising results. But what happens when that experiment needs to grow up and go into production? This talk follows the story of a single machine learning exploration that matures...

   How exactly does one validate the factuality of answers from a Retrieval-Augmented Generation (RAG) system? Or measure the impact of the new system prompt for your customer service agent? What do you do when stakeholders keep asking for "accuracy" metrics that you simply don’t have? In...

   Advances in large language models (LLMs) have propelled a recent flurry of AI tools for data management and operations. For example, AI-powered code assistants leverage LLMs to generate code for dataflow pipelines. RAG pipelines enable LLMs to ground responses with relevant information from...

   Isabel is a Senior Software Engineer at Posit, PBC.