Solyarisoftware at 07:38, 10 December 2021

2021-12-10T07:38:15Z

← Older revision		Revision as of 09:38, 10 December 2021
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	Open source machine learning tools for developers to build, improve, and deploy text-and voice-based chatbots and assistants. (cit. RASA github home).		"''Open source machine learning tools for developers to build, improve, and deploy text-and voice-based chatbots and assistants''". (cit. [https://github.com/RasaHQ/ RASA github home page]).

	RASA is probably the most important tool to develop "task-oriented" conversational ~~application~~. Despite the RASA official statement, is not ~~originally developed~~ to manage voice ~~interaction~~, but chatbots. ~~RASA consist in two main components:~~		RASA is probably the most important open-source tool to develop "task-oriented" conversational applications. Despite the RASA official statement, the original project has not conceived to manage voice interactions, but just [[chatbots]] with some support to GUI/buttons.

	* ''RASA ~~NLU'' is based upon DIET, a a refined state of the art intent/entities classifier~~		RASA architecture consist in two main components:
	* ''RASA Core'' (now called ''RASA Dialog Manager''), based on TED, a machine learning algorithm, to manage multi-turn dialogs, escaping the traditional state-machine based way, but instead allowing conversation developers to insert "''stories",'' set of sequences of intents-actions examples. In a sense, developers define the conversational agent dialog manager giving examples (the stories).

	RASA ~~own~~ a huge open community of developers and researchers. It's probably the biggest open source project to develop on-premise "production-ready" complex dialog systems. All the development ecosystem is around the Python programming language.		* ''RASA NLU'' is based upon [https://rasa.com/blog/introducing-dual-intent-and-entity-transformer-diet-state-of-the-art-performance-on-a-lightweight-architecture/ DIET algorithm], a a refined state of the art intent/entities "classifier
			* ''RASA Core'' (now called ''RASA Dialog Manager''), based on [https://rasa.com/blog/unpacking-the-ted-policy-in-rasa-open-source/ TED policy], a machine learning algorithm, to manage multi-turn dialogs, escaping the traditional state-machine based way, but instead allowing conversation developers to insert "''stories",'' set of of intents-actions sequences (conversation examples). With [https://rasa.com/blog/were-a-step-closer-to-getting-rid-of-intents/ end-to-end training], developers program the conversational agent [[dialog manager]] giving end-to-end turn-taking examples (the stories).

			RASA owned in few years now, a huge open community of developers and researchers. It's probably the biggest open source project to develop on-premise "production-ready" complex dialog systems. All the development ecosystem is around the [[Python]] programming language.

	== References ==		== References ==
	~~home page: https://rasa.com/~~

	~~github~~: https://github.com/RasaHQ/		* Home page: https://rasa.com/

			* Github: https://github.com/RasaHQ/

	~~community~~ forum: https://forum.rasa.com/		* Community forum: https://forum.rasa.com/

Solyarisoftware: RASA platform description

2021-12-05T17:50:34Z

RASA platform description

New page

Open source machine learning tools for developers to build, improve, and deploy text-and voice-based chatbots and assistants. (cit. RASA github home).

RASA is probably the most important tool to develop "task-oriented" conversational application. Despite the RASA official statement, is not originally developed to manage voice interaction, but chatbots. RASA consist in two main components:

* ''RASA NLU'' is based upon DIET, a a refined state of the art intent/entities classifier
* ''RASA Core'' (now called ''RASA Dialog Manager''), based on TED, a machine learning algorithm, to manage multi-turn dialogs, escaping the traditional state-machine based way, but instead allowing conversation developers to insert "''stories",'' set of sequences of intents-actions examples. In a sense, developers define the conversational agent dialog manager giving examples (the stories).

RASA own a huge open community of developers and researchers. It's probably the biggest open source project to develop on-premise "production-ready" complex dialog systems. All the development ecosystem is around the Python programming language.

== References ==
home page: https://rasa.com/

github: https://github.com/RasaHQ/

community forum: https://forum.rasa.com/

RASA - Revision history

Solyarisoftware at 07:38, 10 December 2021

Solyarisoftware: RASA platform description