5 Hands-on 3: Building a customizable chatbot using large language models.

Abstract Researchers and teachers are often dismayed by outrageous answers received from large language models (LLMs). In this workshop, you will learn how to arm an LLM with specific knowledge, such as from an animal agriculture research program. Participants’ expected learning outcomes are to 1) become familiar with natural language processing 2) learn best practices for LLM augmentation 3) understand how building a knowledgeable chatbot could apply to your research, teaching or extension program

Authors

Publication Details

Journal
Journal of Animal Science
Published
2025-10-01
DOI
https://doi.org/10.1093/jas/skaf300.089
Primary Topic
AI in Service Interactions
Type
article
Field-Weighted Citation Impact
0.00
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article

5 Hands-on 3: Building a customizable chatbot using large language models.

Shanda Hunt, John Gottula
Journal of Animal Science
AI in Service Interactions
article

5 Hands-on 3: Building a customizable chatbot using large language models.

Shanda Hunt, John Gottula
article en

Abstract

Abstract Researchers and teachers are often dismayed by outrageous answers received from large language models (LLMs). In this workshop, you will learn how to arm an LLM with specific knowledge, such as from an animal agriculture research program. Participants’ expected learning outcomes are to 1) become familiar with natural language processing 2) learn best practices for LLM augmentation 3) understand how building a knowledgeable chatbot could apply to your research, teaching or extension program

Journal of Animal ScienceVol. 103(Supplement_3)
Openalex Percentile: Top 86%
AI in Service Interactions
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5 Hands-on 3: Building a customizable chatbot using large language models. — Shanda Hunt, John Gottula · Journal of Animal Science (2025) | TGRS Research Map | TGRS