SCIPE Workshop on Large Language Models

Workshop Dates January 16-18, 2026
Registration Period November 13 – December 25, 2025
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Update: The workshop will be held this week. In-person attendees will meet at Nord Hall, Room 410, at CWRU.

Tutorial notebooks are available here.

Day2 Tutorials:

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About the Workshop

The SCIPE Workshop on Large Language Models brings together researchers, practitioners, and students interested in understanding and working with state-of-the-art language models. This intensive three-day program covers everything from foundational concepts to advanced research topics.

Whether you're looking to apply LLMs in your work or explore cutting-edge research directions, this workshop provides hands-on experience with modern tools, access to high-performance computing resources, and guidance from experts in the field.

For Practitioners

Learn to deploy and use LLMs effectively with practical tools like transformers, vLLM, and LangChain. Gain hands-on experience with inference optimization, RAG systems, and API integration.

For Researchers

Explore advanced topics including training methodologies, fine-tuning techniques, test-time scaling, compression strategies, and the latest developments in agentic AI systems.

Workshop Schedule

Day 1 - January 16, 2026

Foundations and Getting Started

12:45 PM - 1:30 PM

Welcome and Lunch (in-person only)

Opening remarks and networking

1:30 PM - 2:45 PM

Introduction to Large Language Models

Overview of LLM architecture, current capabilities, generative AI, agentic AI, and active research areas.

Includes a 15-minute Q&A session
3:00 PM - 3:45 PM

LLM in Action — Commercial Models

Demonstrations of commercial LLMs applied to language generation, reasoning tasks, and code generation.

4:00 PM - 5:00 PM

Open-Source LLMs, Inference, and Efficiency

Using open-source models, inference techniques, efficiency considerations, and the distinction between reasoning and non-reasoning LLMs.

Evening

Take-Home Hands-On

Run reasoning and non-reasoning LLMs; literature review of recent research papers.

Day 2 - January 17, 2026

Tool Use and Retrieval-Augmented Generation (RAG)

9:15 AM - 10:30 AM

Tool Use

Review of take-home assignments and an introduction to using external tools with LLMs.

11:00 AM - 12:00 PM

Retrieval-Augmented Generation (RAG)

Introduction to RAG techniques and applications; collecting and preparing data for RAG systems.

12:00 PM - 1:00 PM

Lunch Break

1:00 PM - 2:30 PM

Data Pipeline: Reading and Storing Data

Extracting text with DeepSeek OCR and storing results in vector databases.

3:00 PM - 5:00 PM

Query and Generation with RAG

Building a RAG pipeline to answer questions over custom documents.

Evening

Take-Home Hands-On

Use RAG with your own documents; literature review of recent research papers.

Day 3 - January 18, 2026

Advanced Applications and Research

9:15 AM - 10:30 AM

Review and LLM Research Roadmap

Review of take-home assignments and discussion of potential research directions in LLM research.

11:00 AM - 12:00 PM

Paper Discussion and Research Ideas

Review of recent research papers and brainstorming research proposals.

12:00 PM - 1:00 PM

Lunch Break

1:00 PM - 2:00 PM

Team Project Work

Participants work in teams to develop a small project or research proposal based on workshop learnings.

2:30 PM - 5:00 PM

Final Presentations

10-minute presentations from participants on their workshop projects and insights.

Topics Covered

LLM Fundamentals

  • LLM architecture and capabilities
  • Generative AI principles
  • Agentic AI systems
  • Current research landscape
  • Commercial vs open-source models

Inference and Deployment

  • Inference techniques and optimization
  • Efficiency considerations
  • Reasoning vs non-reasoning LLMs
  • Running open-source models

Tool Integration

  • External tool integration with LLMs
  • Function calling and execution
  • Building tool-enabled applications

Retrieval-Augmented Generation

  • RAG system architecture
  • Data collection and preparation
  • Document extraction techniques
  • Vector databases
  • Query and answer generation

Applications

  • Language generation
  • Reasoning tasks
  • Code generation
  • Custom document analysis

Research Methods

  • LLM research directions
  • Literature review techniques
  • Research proposal development
  • Paper analysis and discussion

Logistics

Attendance Options

The workshop is offered in two formats to accommodate different participant needs:

  • On-site: Full in-person experience with direct access to instructors and networking opportunities.
  • Remote: Virtual attendance with live streaming and interactive Q&A sessions.

Prerequisites

To get the most out of the workshop, we recommend the following:

  • Basic programming knowledge (Python preferred)
  • Familiarity with machine learning concepts
  • Access to a laptop with a Google account

Registration & Venue

Registration is open from November 13 to December 25, 2025. The workshop will be held January 16–18, 2026 at Nord Hall, Case Western Reserve University — Room 410, 2095 Martin Luther King Jr. Dr., Cleveland, OH 44106.

Register Here