2023:GPT Integration (Concept) - Revision history

Dgreenwood at 21:43, 27 August 2025

2025-08-27T21:43:27Z

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Dgreenwood at 19:48, 27 August 2025

2025-08-27T19:48:46Z

Dgreenwood at 15:48, 25 June 2025

2025-06-25T15:48:48Z

← Older revision		Revision as of 10:48, 25 June 2025
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	GPT (Generative Pre-trained Transformer) integration can be used for three things in '''Grooper''':		GPT (Generative Pre-trained Transformer) integration can be used for three things in '''Grooper''':
	* '''[[#GPT Complete (Extractor Type)\|Extraction]]''' - Prompt the GPT model to return information it finds in a document.		* '''[[#GPT Complete (Extractor Type)\|Extraction]]''' - Prompt the GPT model to return information it finds in a document.
	* '''[[#GPT Embeddings (~~Classification~~ Method)\|Classification]]''' - GPT has been trained against a massive corpus of information, which allows for a lot of potential when it comes to classifying documents. The idea here is that because it's seen so much, the amount of training required in '''Grooper''' should be less.		* '''[[#GPT Embeddings (Classify Method)\|Classification]]''' - GPT has been trained against a massive corpus of information, which allows for a lot of potential when it comes to classifying documents. The idea here is that because it's seen so much, the amount of training required in '''Grooper''' should be less.
	* '''[[#GPT Lookup (Lookup Specification)\|Lookup]]''' - With a GPT lookup you can provide information collected from a model in '''Grooper''' as <code><span style="color:#ff00ff">@</span></code> variables in a prompt to have GPT generate data.		* '''[[#GPT Lookup (Lookup Specification)\|Lookup]]''' - With a GPT lookup you can provide information collected from a model in '''Grooper''' as <code><span style="color:#ff00ff">@</span></code> variables in a prompt to have GPT generate data.

Dgreenwood at 15:47, 25 June 2025

2025-06-25T15:47:04Z

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			'''!!'''
			\|
			'''LEGACY TECHNOLOGY DETECTED!!'''

			"GPT Integration" refers to Grooper's early attempts at integrating OpenAI's GPT models into the product. The information in this article is largely obsolete.

			For more current information on Grooper's integration with AI technologies, refer to the following resources:
			* [[Grooper and AI]] - An overview of Grooper's AI integrations.
			* [[Ask AI]] - An LLM-based extractor type.
			* [[AI Extract]] - A "Fill Method" using LLMs for large scale data extraction with minimal setup.
			* [[Clause Detection]] - An LLM embeddings based Data Section extract method.
			\|}
	[[File:OpenAI Logo.svg.png\|right\|thumb\|500px\|Enhancing Grooper by integrating with modern AI technology.]]		[[File:OpenAI Logo.svg.png\|right\|thumb\|500px\|Enhancing Grooper by integrating with modern AI technology.]]

Randallkinard at 19:39, 21 November 2024

2024-11-21T19:39:34Z

← Older revision		Revision as of 14:39, 21 November 2024
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	{{#lst:Glossary\|GPT Lookup}}		{{#lst:Glossary\|GPT Lookup}}
	Please visit the '''''[[GPT Lookup]]''''' article for more information.		Please visit the '''''[[GPT Lookup]]''''' article for more information.

	~~== Glossary ==~~
	~~<u><big>'''Batch'''</big></u>: {{#lst:Glossary\|Batch}}~~

	~~<u><big>'''Classification Method'''</big></u>: {{#lst:Glossary\|Classification Method}}~~

	~~<u><big>'''Classification'''</big></u>: {{#lst:Glossary\|Classification}}~~

	~~<u><big>'''Data Extraction'''</big></u>: {{#lst:Glossary\|Data Extraction}}~~

	~~<u><big>'''Extract'''</big></u>: {{#lst:Glossary\|Extract}}~~

	~~<u><big>'''Extractor Type'''</big></u>: {{#lst:Glossary\|Extractor Type}}~~

	~~<u><big>'''GPT Complete'''</big></u>: {{#lst:Glossary\|GPT Complete}}~~

	~~<u><big>'''GPT Embeddings'''</big></u>: {{#lst:Glossary\|GPT Embeddings}}~~

	~~<u><big>'''GPT Integration'''</big></u>: {{#lst:Glossary\|GPT Integration}}~~

	~~<u><big>'''GPT Lookup'''</big></u>: {{#lst:Glossary\|GPT Lookup}}~~

	~~<u><big>'''Lookup'''</big></u>: {{#lst:Glossary\|Lookup}}~~

	~~<u><big>'''Project'''</big></u>: {{#lst:Glossary\|Project}}~~

Dgreenwood at 20:30, 4 October 2024

2024-10-04T20:30:54Z

← Older revision		Revision as of 15:30, 4 October 2024
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	* '''[[#GPT Complete (Extractor Type)\|Extraction]]''' - Prompt the GPT model to return information it finds in a document.		* '''[[#GPT Complete (Extractor Type)\|Extraction]]''' - Prompt the GPT model to return information it finds in a document.
	* '''[[#GPT Embeddings (Classification Method)\|Classification]]''' - GPT has been trained against a massive corpus of information, which allows for a lot of potential when it comes to classifying documents. The idea here is that because it's seen so much, the amount of training required in '''Grooper''' should be less.		* '''[[#GPT Embeddings (Classification Method)\|Classification]]''' - GPT has been trained against a massive corpus of information, which allows for a lot of potential when it comes to classifying documents. The idea here is that because it's seen so much, the amount of training required in '''Grooper''' should be less.
	* '''[[#GPT Lookup (Lookup)\|Lookup]]''' - With a GPT lookup you can provide information collected from a model in '''Grooper''' as <code><span style="color:#ff00ff">@</span></code> variables in a prompt to have GPT generate data.		* '''[[#GPT Lookup (Lookup Specification)\|Lookup]]''' - With a GPT lookup you can provide information collected from a model in '''Grooper''' as <code><span style="color:#ff00ff">@</span></code> variables in a prompt to have GPT generate data.

	In this article you will be shown how '''Grooper''' leverages GPT for the aforementioned methods. Some example use cases will be given to demonstrate a basic approach. Given the nature of the way this technology works, it will be up to the user to get creative about how this can be used for their needs.		In this article you will be shown how '''Grooper''' leverages GPT for the aforementioned methods. Some example use cases will be given to demonstrate a basic approach. Given the nature of the way this technology works, it will be up to the user to get creative about how this can be used for their needs.
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	Please visit the '''''[[GPT Embeddings (Classification Method)\|GPT Embeddings]]''''' article for more information.		Please visit the '''''[[GPT Embeddings (Classification Method)\|GPT Embeddings]]''''' article for more information.

	=== GPT Lookup (Lookup) ===		=== GPT Lookup (Lookup Specification) ===
	{{#lst:Glossary\|GPT Lookup}}		{{#lst:Glossary\|GPT Lookup}}
	Please visit the '''''[[~~GPT Lookup (Lookup)\|~~GPT Lookup]]''''' article for more information.		Please visit the '''''[[GPT Lookup]]''''' article for more information.

	== Glossary ==		== Glossary ==

Randallkinard at 13:47, 27 August 2024

2024-08-27T13:47:25Z

@@ Line 15: / Line 15: @@
 * [[Media:2023_Wiki_GPT-Integration_Project.zip]]
 |}
 == ABOUT ==
@@ Line 101: / Line 76: @@
 {{#lst:Glossary|GPT Lookup}}
 Please visit the '''''[[GPT Lookup (Lookup)|GPT Lookup]]''''' article for more information.

Randallkinard at 14:07, 10 May 2024

2024-05-10T14:07:09Z

@@ Line 15: / Line 15: @@
 * [[Media:2023_Wiki_GPT-Integration_Project.zip]]
 |}
 == ABOUT ==

Randallkinard: /* GPT Lookup (Lookup) */

2024-04-30T15:18:17Z

GPT Lookup (Lookup)

Show changes

Randallkinard: /* GPT Embeddings (Classification Method) */

2024-04-30T15:00:58Z

GPT Embeddings (Classification Method)

← Older revision		Revision as of 10:00, 30 April 2024
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	=== GPT Embeddings (Classification Method) ===		=== GPT Embeddings (Classification Method) ===
			{{#lst:Glossary\|GPT Embeddings}}
	Please visit the '''''[[GPT Embeddings (Classification Method)\|GPT Embeddings]]''''' article for more information.		Please visit the '''''[[GPT Embeddings (Classification Method)\|GPT Embeddings]]''''' article for more information.

← Older revision		Revision as of 14:39, 21 November 2024
Line 76:		Line 76:
	{{#lst:Glossary\|GPT Lookup}}		{{#lst:Glossary\|GPT Lookup}}
	Please visit the '''''[[GPT Lookup]]''''' article for more information.		Please visit the '''''[[GPT Lookup]]''''' article for more information.

	~~== Glossary ==~~
	~~<u><big>'''Batch'''</big></u>: {{#lst:Glossary\|Batch}}~~

	~~<u><big>'''Classification Method'''</big></u>: {{#lst:Glossary\|Classification Method}}~~

	~~<u><big>'''Classification'''</big></u>: {{#lst:Glossary\|Classification}}~~

	~~<u><big>'''Data Extraction'''</big></u>: {{#lst:Glossary\|Data Extraction}}~~

	~~<u><big>'''Extract'''</big></u>: {{#lst:Glossary\|Extract}}~~

	~~<u><big>'''Extractor Type'''</big></u>: {{#lst:Glossary\|Extractor Type}}~~

	~~<u><big>'''GPT Complete'''</big></u>: {{#lst:Glossary\|GPT Complete}}~~

	~~<u><big>'''GPT Embeddings'''</big></u>: {{#lst:Glossary\|GPT Embeddings}}~~

	~~<u><big>'''GPT Integration'''</big></u>: {{#lst:Glossary\|GPT Integration}}~~

	~~<u><big>'''GPT Lookup'''</big></u>: {{#lst:Glossary\|GPT Lookup}}~~

	~~<u><big>'''Lookup'''</big></u>: {{#lst:Glossary\|Lookup}}~~

	~~<u><big>'''Project'''</big></u>: {{#lst:Glossary\|Project}}~~

← Older revision		Revision as of 14:48, 27 August 2025
Line 9:		Line 9:
	For more current information on Grooper's integration with AI technologies, refer to the following resources:		For more current information on Grooper's integration with AI technologies, refer to the following resources:
	* [[Grooper and AI]] - An overview of Grooper's AI integrations.		* [[Grooper and AI]] - An overview of Grooper's AI integrations.
	* [[Ask AI]] - An LLM-based extractor ~~type~~.		* [[Ask AI]] - An LLM-based extractor.
	* [[AI Extract]] - A "Fill Method" using LLMs for large scale data extraction with minimal setup.		* [[AI Extract]] - A "Fill Method" using LLMs for large scale data extraction with minimal setup.
	* [[Clause Detection]] - An LLM embeddings based Data Section extract method.		* [[Clause Detection]] - An LLM embeddings based Data Section extract method.
Line 30:		Line 30:
	== ABOUT ==		== ABOUT ==
	GPT (Generative Pre-trained Transformer) integration can be used for three things in '''Grooper''':		GPT (Generative Pre-trained Transformer) integration can be used for three things in '''Grooper''':
	* '''[[#GPT Complete (Extractor ~~Type~~)\|Extraction]]''' - Prompt the GPT model to return information it finds in a document.		* '''[[#GPT Complete (Value Extractor)\|Extraction]]''' - Prompt the GPT model to return information it finds in a document.
	* '''[[#GPT Embeddings (Classify Method)\|Classification]]''' - GPT has been trained against a massive corpus of information, which allows for a lot of potential when it comes to classifying documents. The idea here is that because it's seen so much, the amount of training required in '''Grooper''' should be less.		* '''[[#GPT Embeddings (Classify Method)\|Classification]]''' - GPT has been trained against a massive corpus of information, which allows for a lot of potential when it comes to classifying documents. The idea here is that because it's seen so much, the amount of training required in '''Grooper''' should be less.
	* '''[[#GPT Lookup (Lookup Specification)\|Lookup]]''' - With a GPT lookup you can provide information collected from a model in '''Grooper''' as <code><span style="color:#ff00ff">@</span></code> variables in a prompt to have GPT generate data.		* '''[[#GPT Lookup (Lookup Specification)\|Lookup]]''' - With a GPT lookup you can provide information collected from a model in '''Grooper''' as <code><span style="color:#ff00ff">@</span></code> variables in a prompt to have GPT generate data.
Line 77:		Line 77:
	[[Image:GPT Integration 003.png]]		[[Image:GPT Integration 003.png]]

	=== GPT Complete (Extractor ~~Type~~) ===		=== GPT Complete (Value Extractor) ===
	{{#lst:Glossary\|GPT Complete}}		{{#lst:Glossary\|GPT Complete}}
	Please visit the '''''[[~~GPT Complete (Extractor Type)\|~~GPT Complete]]''''' article for more information.		Please visit the '''''[[GPT Complete]]''''' article for more information.

	=== GPT Embeddings (Classification Method) ===		=== GPT Embeddings (Classification Method) ===