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Impact
How will large language models impact historical research?
Some speculative thoughts:
#EDITOR
- Academic editor consulting on a book idea [a popular book on the application of LLMs to study of history]
#INTERLOCUTOR
- Adopts specific persona to provide challenge to users arguments
- Critiques aricle and books structures
- Especially useful at brainstorming stage of writing process
#SOFTWARE ENGINEER
- Advises on SW choice
- Advises on code structure
#TUTOR
- User needs to learn how best to teach GPT-4o to perform tasks and processes
- Best way is to work collaboratively on small chunks of text with close supervision and correction, accumulating process and preferences in GPT4o memory
- Highly detailed painstaking development of processes is very fruitful for the user to clarify a process
#SYSTEMATIC REVIEW & META-ANALYSIS
#SUPPORT MULTI-LINGUAL COMMUNITIES
- Break down intellectual silos
- Opportunities for English speaking historians to access the documentary and cultural world of Arabic and Turkish
The MarineLives project was founded in 2012. It is a volunteer lead collaboration dedicated to the transcription, enrichment and publication of English High Court of Admiralty depositions.
AI assistants and agents. Nov 19, 2024 talk
Analytical ontological summarization prompt
APIs and batch processing - second collaboratory session
APIs and batch processing ‐ learnings from second collaboratory session
Barbary pirate narrative summarization prompt
Barbary pirate deposition identification and narrative summarization prompt
Batch processing of raw HTR for clean up and summarization
Collaboratory members interests
Early Modern English Language Models
Fine-tuning - third oollaboratory session
History domain training data sets
Introduction to machine learning for historians
MarineLives and machine transcription
New skill set for historians? July 19, 2024 talk
Prompt engineering - first collaboratory session
Prompt engineering - learnings from first collaboratory session