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aprendointeligenciaartificial.milaulas.com
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Bienvenido a su nuevo sitio en Mil Aulas
¡Ya puede empezar a crear cursos!
Moodle es un sistema de gestión de aprendizaje de código abierto que permite a los educadores crear y administrar cursos en línea. Ofrece una variedad de herramientas y recursos para organizar el material del curso, crear actividades y cuestionarios, alojar discusiones en línea y hacer un seguimiento del progreso de los estudiantes.
La plataforma es altamente personalizable y puede adaptarse a las necesidades específicas de cada institución o curso. Esto significa que los educadores pueden crear cursos que se ajusten a sus objetivos y metodologías, y personalizarlos para el aprendizaje de cada estudiante. Moodle también admite tanto entornos de aprendizaje síncronos como asíncronos, lo que permite a los educadores organizar eventos en vivo y proporcionar recursos para el aprendizaje a su propio ritmo.
Moodle es ampliamente utilizado en instituciones educativas de todo el mundo, desde escuelas primarias hasta universidades. También es popular en programas de formación profesional y empresarial. Además, la plataforma es accesible para usuarios de diferentes habilidades y necesidades, lo que la hace inclusiva para todos los estudiantes.
La comunidad de Moodle es activa y diversa, compuesta por educadores, desarrolladores y usuarios de todo el mundo. La comunidad contribuye al desarrollo y mejora continua de Moodle, y proporciona soporte, recursos y documentación para los usuarios. La plataforma también ofrece una gran cantidad de recursos y herramientas para mejorar la experiencia de los usuarios y fomentar la colaboración y el aprendizaje interactivo.
Enlaces de interés:
- Documentación oficial de Moodle
- Foros de la comunidad Moodle
- Historial de versiones de Moodle (En inglés)
- El servicio de alojamiento gratuito de Moodle en Mil Aulas
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Cursos disponibles
Introduction
In this document, we explain relevance rating guidelines for HomePod contents. You will use the BaseLine tool to make these ratings.
What is HomePod?
HomePod is a smart speaker developed by Apple, Inc., first released on February 9, 2018. It integrates Siri, which can be used to control the speaker and other HomeKit devices. The HomePod supports proprietary Apple platforms and technologies (Apple Music, iTunes purchases, Apple Podcasts, Apple Music 1 radio, and AirPlay) as well as other 3rd party apps like Pandora and Deezer.
If you are not familiar with HomePod, please refer to https://www.apple.com/homepod/ for an overview.
If you are not familiar with Siri, please check overview on how to Use Siri to play music or podcasts.
If you are not familiar with HomePod, please refer to https://www.apple.com/homepod/ for an overview.
If you are not familiar with Siri, please check overview on how to Use Siri to play music or podcasts.
The importance of your work as a Rater
The data we receive from you in the form of high-quality relevance judgments will be used to build and improve artificial intelligence systems such as search algorithms and machine learned rankers that power the user experience for Apple HomePod users.
Our ultimate goal is to enrich the customer experience by improving search quality and enhancing customer satisfaction, and you play an important role in this.
Ask yourself "Why is this particular result returned for this query? Is this relevant? Is it popular enough to meet the primary intent" Stay curious and do a thorough research to understand the relationship between a query and the result. Besides, it is highly recommended to keep yourselves well-informed, as market trends are dynamic and evolving.
Your attention to detail, research and language skills as well as your cultural knowledge of the market are all critical to the success of our projects. Please keep in mind that your tasks will be spot-checked for quality, and measured against those of your peers. If your accuracy rate is consistently high enough, you may be qualified to be given a broader access and work as an auditor who gives feedback to your peers.
Our ultimate goal is to enrich the customer experience by improving search quality and enhancing customer satisfaction, and you play an important role in this.
Ask yourself "Why is this particular result returned for this query? Is this relevant? Is it popular enough to meet the primary intent" Stay curious and do a thorough research to understand the relationship between a query and the result. Besides, it is highly recommended to keep yourselves well-informed, as market trends are dynamic and evolving.
Your attention to detail, research and language skills as well as your cultural knowledge of the market are all critical to the success of our projects. Please keep in mind that your tasks will be spot-checked for quality, and measured against those of your peers. If your accuracy rate is consistently high enough, you may be qualified to be given a broader access and work as an auditor who gives feedback to your peers.
Rating Guidelines for HomePod Search
- Perfect: The primary intent of the query or the most likely piece of content implied by the query.
- For example, [Play Drake] with Drake’s artist Siri Station returned would be Perfect. In the case of a multi-match, a piece of content implied by the query ONLY if it is incredibly popular or equally popular to the intended piece of content. For example, [Play home] should return popular songs with the title ‘home’.
- Good: A piece of content that is closely related, but secondary, to the implied query. The content would be a less popular intent compared to the primary ones that rated Perfect.
- For example, [Play blood sweat and tears], The primary intent is the song Blood Sweat & Tears by BTS; but the Blood Sweat & Tears band is popular enough to be a potential intent (and the artist Siri Station should be rated 'Good').
- Unacceptable: Off-Topic - This piece of content is off-topic to the query.
- Problem: Other - Any problem not listed above and Local/Knowledge Based/Action Command queries would use this rating. A problem or technical issue with the task in BaseLine that makes it impossible to judge relevance or a video result of a TV show/Movie (for Siri Music (End to End) Evaluation) should be rated with this rating as well (example below).
Video Results
Video results are occasionally returned in search results and should be rated Problem: Other as they are not music intents.
Note 1: As Siri occasionally incorrectly transcribes spoken utterances, be cognizant of query intent, e.g. if the query is [play ain't shit by THE CARTERS], the user is actually looking for the song Apeshit by THE CARTERS. For highly misrecognized queries, reading the query aloud helps. For example, the intent for [Play funder] is Imagine Dragons' song Thunder.
Mandatory Comment
Each rating must be explained in the comment box. Even if "optional" is indicated, rating comments are always mandatory.
The comment should be concise and must only explain why the rating chosen is the correct one in application of the guidelines.
The comment should be concise and must only explain why the rating chosen is the correct one in application of the guidelines.
- Profesor: Administrador Usuario
1. Introduction
In this document, we explain relevance rating guidelines for Apple Music Search with Siri. You will use the BaseLine tool to make these ratings.
1.1 What is Apple Music?
Apple Music is a music and video streaming service developed by Apple. Users select music to stream to their device on-demand, or they can listen to existing, curated playlists. The service also includes the Internet radio station Beats 1, which broadcasts live to over 100 countries 24 hours a day. Some highlights of what Apple Music offers to the users :
- Stream 100 million songs ad‑free.
- Download your favorite tracks. Play them offline.
- Get exclusive and original content.
- Listen across all of your devices.
- Sing along, tap ahead, or just listen with lyrics view.
- Listen live to local radio stations from around the world.
- Discover songs you’ll love from music picked just for you.
- Tap into new music with curated playlists from our editors.
- Profesor: Administrador Usuario
- Profesor: Administrador Usuario
- Profesor: Administrador Usuario
- Profesor: Administrador Usuario
Welcome to the project! In this module we will provide you with full instructions to ensure you produce valid single and multi-turn conversations between a human user and an AI model.
Crystal is the code name for this particular project.
If you have questions for your project manager etc please ensure you refer to these code names. If you think you know who the client is etc, shhh 🤫 Remember, client and project details are confidential and these must not be breached!
This is a new and dynamic project, so please ensure you review any updates sent by the team and feel free to raise any questions.
- Profesor: Administrador Usuario