Wiki source code of Intelligence artificielle

Last modified by Aurelie Bertrand on 2025/11/14 11:59

version	line-number	content
28.1	1	{{ddtoc/}}
	2
	3	----
	4
42.1	5	This section allows you to configure the options for features using artificial intelligence: [[data enrichment with open data>>doc:Digdash.user_guide.studio.open_data.WebHome]], generation of a transformation function, [[display of highlights>>doc:Digdash.user_guide.dashboard.Display_highlights.WebHome]] and [[DigDash Agent>>doc:Digdash.Agent.WebHome]].
2.2	6
42.1	7	[[image:AI_en.png\|\|alt="Artificial intelligence"]]
8.1	8
42.1	9	= Open data =
2.3	10
42.1	11	Here you can activate the [[open data functionality>>doc:Digdash.user_guide.studio.open_data.WebHome]]:
2.3	12
42.1	13	* Check the Enable the open data functionality box.
	14	➡ The Enrich with open data command is then available in the data model context menu.
	15	[[image:Model_enrich_open_data_EN.png\|\|alt="Enrich model" height="504" width="707"]]
2.3	16
42.1	17	It is also possible to automatically detect whether open data compatible with your data is available, when your data model is created. To do this:
4.1	18
42.1	19	* Check the Enable open data functionality when creating a data model box .
	20	➡ If open data compatible with your data is available, it will be offered to you when you create your data model (after clicking on the Finish button when configuring the data model in the Studio).
5.2	21
42.1	22	The field The identifier of the role containing the open data models contains the identifier of the role dedicated to Digdash Open Data models.
7.1	23
42.1	24	= LLM (Large Language Model) =
8.1	25
42.1	26	Here you can activate and specify the LLM (large language model) used by the AI wizard for [[the generation of transformation functions>>doc:Digdash.user_guide.studio.Create_datamodel.transform_data.transform_data_tab.WebHome\|\|anchor="IA"]].
8.1	27
42.1	28	1. Tick the Activate LLM box.
	29	1. Select the LLM Provider from the drop-down list.
13.2	30
	31	(% class="box infomessage" %)
	32	(((
42.1	33	The Ollama LLM provider requires local installation. You can consult the Ollama documentation [[https:~~/~~/github.com/ollama/ollama/>>https://github.com/ollama/ollama/]] for more details.
13.2	34	)))
	35
15.1	36	(% start="3" %)
42.1	37	1. Fill in the following information:(((
27.1	38	\|=(% style="width: 181px;" %) \|=(% style="width: 286px;" %)OpenAI\|=(% style="width: 363px;" %)Google Gemini\|=(% style="width: 482px;" %)Ollama
42.1	39	\|=(% style="width: 181px;" %)Server URL\|(% style="width:286px" %)https:~/~/api.openai.com\|(% style="width:363px" %)(((
	40	https:~/~/generativelanguage.googleapis.com/v1beta/models/nom_du_modèle
11.1	41
42.1	42	The URL contains the model used by Gemini. Thus,// model_name //should be replaced by the name of the chosen model. For example:
13.1	43	https:~/~/generativelanguage.googleapis.com/v1beta/models/gemini-1.5-flash-latest:generateContent
11.1	44
42.1	45	Click on the following link to consult the list of available models:
11.1	46	[[https:~~/~~/ai.google.dev/gemini-api/docs/models/gemini?hl=fr>>https://ai.google.dev/gemini-api/docs/models/gemini?hl=fr]]
27.1	47	)))\|(% style="width:482px" %)(((
42.1	48	Enter the server URL in the following format:
	49	//http:~/~/[server]:[port]
	50	For example : //[[http:~~/~~/lab1234.lan.digdash.com:11434>>http://lab3090.lan.digdash.com:11434]]
11.1	51	)))
42.1	52	\|=(% style="width: 181px;" %)API key\|(% style="width:286px" %)(((
	53	Enter your API key.
11.1	54
42.1	55	See the paragraph [[Configuring an OpenAI API key>>doc:.LLM_API_key.WebHome\|\|anchor="OpenAI"]] if necessary.
27.1	56	)))\|(% style="width:363px" %)(((
42.1	57	Enter your API key.
11.1	58
42.1	59	See the paragraph [[Configuring a Gemini API key>>doc:.LLM_API_key.WebHome\|\|anchor="Gemini"]] if necessary.
	60	)))\|(% style="width:482px" %)Ollama does not require an API key.
	61	\|=(% style="width: 181px;" %)Model\|(% style="width:286px" %)(((
	62	Enter the name of the chosen model.
	63	For example, gpt-3.5-turbo.
11.1	64
42.1	65	Click on the following link to consult the list of available models:
11.1	66	[[https:~~/~~/platform.openai.com/docs/models>>https://platform.openai.com/docs/models]]
27.1	67	)))\|(% style="width:363px" %)(((
42.1	68	The model is not entered here but directly in the server URL.
	69	The field must remain empty.
27.1	70	)))\|(% style="width:482px" %)(((
42.1	71	Enter the model identifier.
23.3	72
42.1	73	We recommend the following models:
23.2	74
42.1	75	* Codestral 22B: LLM specialising in code generation (small, high-performance model).
	76	With the level of [[quantization level>>https://huggingface.co/docs/optimum/concept_guides/quantization]] Q4_K_M, the identifier is //codestral:22b-v0.1-q4_K_M//
	77	* Llama 3.3 70B : General-purpose LLM for code-generating tasks.
	78	With the [[quantization level>>https://huggingface.co/docs/optimum/concept_guides/quantization]] Q4_K_M, the identifier is //llama3.3:70b-instruct-q4_K_M//
23.3	79
42.1	80	Click on the following link to consult the list of available models:
23.3	81	[[https:~~/~~/ollama.com/search>>https://ollama.com/search]]
11.1	82	)))
	83	)))
42.1	84	1. Click on Save.
10.1	85
42.1	86	To return to the default values, click Reset.
24.2	87
42.1	88	== Setting prompts ==
24.2	89
42.1	90	The prompts (or instructions) used by default for generating data transformations are stored in the ///home/digdash/webapps/ddenterpriseapi/WEB-INF/classes/resources/llm// directory //.// There is a prompt for each provider. ❗These prompts MUST NOT be changed.
25.2	91
42.1	92	You can define a custom prompt on the same model, keeping the last lines :
25.2	93
42.1	94	{{{request: #/REQUEST_CLIENT/#}}}
25.2	95
42.1	96	In order to be taken into account, it must be named //custom.prompt// and placed in the ///home/digdash/appdata/default/Enterprise Server/ddenterpriseapi/config// directory //.//
26.1	97
42.1	98	= Highlights{{id name="highlight"/}} =
29.2	99
30.1	100	(% class="box" %)
	101	(((
42.1	102	💡 Consult the page [[View highlights>>doc:Digdash.user_guide.dashboard.Display_highlights.WebHome]] page for more details on the use of highlights.
30.1	103	)))
29.2	104
42.1	105	Some default values for [[highlights>>doc:Digdash.user_guide.dashboard.Display_highlights.WebHome]] parameters ars eset by default. You can change these values if you wish to influence the way in which highlights are identified.
29.2	106
42.1	107	\|=(% style="background-color: grey; width: 438px;" %)(% style="color:#ffffff" %)Parameter\|=(% style="background-color: grey; width: 1053px;" %)(% style="color:#ffffff" %)Description
	108	\|(% style="width:438px" %)Minimum number of members for Mega\|(% style="width:1053px" %)(((
	109	Minimum number of members the dimension must contain to be able to identify a mega contributor.
	110	By default, the dimension must contain at least 5 members.
30.1	111	)))
42.1	112	\|(% style="width:438px" %)Minimum percentage for Mega\|(% style="width:1053px" %)Minimum percentage of the total sum that the member must represent to be a mega contributor.
	113	By default, a member must contribute at least 40% of a given measure to be able to be a mega contributor.
	114	\|(% style="width:438px" %)Minimum number K for TopK\|(% style="width:1053px" %)Minimum number of members contributing at least the//"Minimum percentage for TopK"// to a given measure (total sum).
	115	By default, at least 2 members must contribute at least 40% of a given measure to be top contributors.
	116	\|(% style="width:438px" %)Maximum number K for TopK\|(% style="width:1053px" %)Maximum number of members contributing at least the//"Minimum percentage for TopK"// to a given measure (total sum).
	117	By default, a maximum of 5 members must contribute at least 40% of a given measure to be top contributors.
	118	\|(% style="width:438px" %)Percentage K for TopK\|(% style="width:1053px" %)Percentage of the number of members used to determine K.
	119	By default, K is equal to 33%. A minimum of 6 members is required to obtain a Top2.
	120	\|(% style="width:438px" %)Minimum percentage for TopK\|(% style="width:1053px" %)Minimum percentage of a given measure to which the K best members must contribute to be Top contributors.
	121	By default, the K best members must contribute at least 40% to a given measure (total sum) to be Top contributors.
	122	\|(% style="width:438px" %)Lowest lower bound for correlation\|(% style="width:1053px" %)Minimum correlation coefficient for a dimension with 10 members for correlation to be taken into account.
	123	By default, the minimum correlation coefficient is 0.7.
	124	\|(% style="width:438px" %)Highest lower bound for correlation\|(% style="width:1053px" %)Minimum correlation coefficient for a dimension with 50 or more members for correlation to be taken into account.
	125	By default, the minimum correlation coefficient is 0.3.
	126	\|(% style="width:438px" %)Limit for correlation\|(% style="width:1053px" %)Limit of the correlation coefficient beyond which the relationship is no longer considered a correlation.
30.1	127
	128	(% class="box infomessage" %)
	129	(((
42.1	130	ℹ The correlation search is only performed if the selected measure has a Mega Contributor, Top K Contributors or Pareto.
30.1	131	)))
36.1	132
	133	= Agent =
	134
42.1	135	This section allows you to configure the server parameters for the use of DigDash Agent. See paragraph [[Configuring DigDash server settings>>doc:Digdash.Agent.install_guide_Agent.WebHome\|\|anchor="Paramètres_serveur"]] for a detailed description.

Wiki source code of Intelligence artificielle

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