May 6, 2025
9:30 am
-
5:00 pm
Pomerene Hall, Room 320
Add to Calendar
2025-05-06 09:30:00
2025-05-06 17:00:00
TDAI Workshop: Generative AI in Your Research
TDAI is excited to launch a new hands-on workshop series, AI in Your Research, designed to help academic researchers integrate cutting-edge AI tools into your scholarly work. The first interactive, application-focused session, Generative AI in Your Research, will guide participants through using Large Language Models (LLMs) to enhance and streamline the academic literature review process. Participants will work directly in Python environments with access to commercial LLMs.Key topics covered:Understanding the transformer architecture behind modern LLMsOverview of commercial and open-source LLMs, including cost comparisonsEthical and security considerations for using LLMs in researchPrompt engineering best practicesProcessing and formatting documents for effective LLM ingestionHands-on tutorials for working with LLMs in PythonSetting up Retrieval-Augmented Generation (RAG) to overcome document length limitationsTechniques for summarizing articles, identifying connections across papers (authors, references, methods), and uncovering key themesConstructing a knowledge graph to visualize and interpret findingsWorkshop materials, including documents for review, will be provided.To support direct, practical engagement, participants will be asked to purchase a small number of API tokens in advance. Instructions will be shared prior to the event. The workshop will open at 9 AM to assist participants with setup.An extended office hours session will be held following the workshop to discuss how these tools can be applied to participants’ own research. Attendees are encouraged to bring questions, documents, or data from their current projects. To register: https://forms.office.com/r/YYViDtLmKd
Pomerene Hall, Room 320
OSU ASC Drupal 8
ascwebservices@osu.edu
America/New_York
public
Date Range
2025-05-06 09:30:00
2025-05-06 17:00:00
TDAI Workshop: Generative AI in Your Research
TDAI is excited to launch a new hands-on workshop series, AI in Your Research, designed to help academic researchers integrate cutting-edge AI tools into your scholarly work. The first interactive, application-focused session, Generative AI in Your Research, will guide participants through using Large Language Models (LLMs) to enhance and streamline the academic literature review process. Participants will work directly in Python environments with access to commercial LLMs.Key topics covered:Understanding the transformer architecture behind modern LLMsOverview of commercial and open-source LLMs, including cost comparisonsEthical and security considerations for using LLMs in researchPrompt engineering best practicesProcessing and formatting documents for effective LLM ingestionHands-on tutorials for working with LLMs in PythonSetting up Retrieval-Augmented Generation (RAG) to overcome document length limitationsTechniques for summarizing articles, identifying connections across papers (authors, references, methods), and uncovering key themesConstructing a knowledge graph to visualize and interpret findingsWorkshop materials, including documents for review, will be provided.To support direct, practical engagement, participants will be asked to purchase a small number of API tokens in advance. Instructions will be shared prior to the event. The workshop will open at 9 AM to assist participants with setup.An extended office hours session will be held following the workshop to discuss how these tools can be applied to participants’ own research. Attendees are encouraged to bring questions, documents, or data from their current projects. To register: https://forms.office.com/r/YYViDtLmKd
Pomerene Hall, Room 320
America/New_York
public
TDAI is excited to launch a new hands-on workshop series, AI in Your Research, designed to help academic researchers integrate cutting-edge AI tools into your scholarly work. The first interactive, application-focused session, Generative AI in Your Research, will guide participants through using Large Language Models (LLMs) to enhance and streamline the academic literature review process. Participants will work directly in Python environments with access to commercial LLMs.
Key topics covered:
- Understanding the transformer architecture behind modern LLMs
- Overview of commercial and open-source LLMs, including cost comparisons
- Ethical and security considerations for using LLMs in research
- Prompt engineering best practices
- Processing and formatting documents for effective LLM ingestion
- Hands-on tutorials for working with LLMs in Python
- Setting up Retrieval-Augmented Generation (RAG) to overcome document length limitations
- Techniques for summarizing articles, identifying connections across papers (authors, references, methods), and uncovering key themes
- Constructing a knowledge graph to visualize and interpret findings
Workshop materials, including documents for review, will be provided.
To support direct, practical engagement, participants will be asked to purchase a small number of API tokens in advance. Instructions will be shared prior to the event. The workshop will open at 9 AM to assist participants with setup.
An extended office hours session will be held following the workshop to discuss how these tools can be applied to participants’ own research. Attendees are encouraged to bring questions, documents, or data from their current projects.
To register: https://forms.office.com/r/YYViDtLmKd
