![]() Step 2: (Optional) Enter project details Copy.ai will prompt you to enter project information. Click the Website Copy drop-down menu on the left side of the app and then Meta Descriptions. This will apply the saved data back onto the ActionList, restoring any lost work recorded at the time of the last backup. To find the meta description generator, open the Copy.ai application. To restore an ActionList's data, click the icon to the top-right of the ActionList component and choose Action data -> Restore from the menu: In the event of data loss, backed-up data can be restored on a per-ActionList basis. The frequency by which ActionList data is backed up can be set via the Autosave interval (m) field: in Unity's top toolbar, and then selecting Adventure Creator from the list: In Unity 2019.2, this is configurable in the Project Settings, by going to Edit -> Project Settings. To mitigate this, AC v1.75.4 onward backs up ActionList data automatically every 10 minutes. With these advancements, the team hopes to develop a product that can serve the entire Hindi language pedagogy community and other researchers in Hindi linguistics, as well as serve as a model for less commonly taught languages to provide data-supported instructional materials.Due to the way Unity serializes scene-based ActionList data, launching Unity with a scripting compilation error may cause ActionList data to be lost in the open scene once the error is removed. The next steps for the project include continuing to iterate on prompts, developing vocabulary sets inspired by content in Hindi newspaper articles surrounding a particular topic, using LangChain to develop a document store that allows for semantic search to select articles on a specific topic, and training a model in Hindi/Sanskrit from scratch. This source code creates your dashboard without coding. The team has tested several pre-trained transformer models and large language models, including 50 Text2Text Generation models on HuggingFace that included Hindi language texts in their training, Poe (Sage, Claude, Dragonfly), ChatGPT, GPT4, BingGPT, and Google BARD. Dashboard Creator is a very useful tool for creating charts, graphs, tables and dashboards that can be transformed in a few clicks and does not require programming skills to create a great interactive dashboard. However, digitized articles can be expensive, costing around $7,000 a year. Data Creator is designed to be fast and user-friendly, making it easy to create and modify data. To overcome this challenge, they have turned to newspapers, which still capture how the language evolves, though it is still a slightly more formal version of the language. The team has faced some obstacles, including the lack of free, computer-readable modern Hindi texts. The team is also developing a process that can be replicated by others, with a proof of concept that uses AI to generate level-appropriate and updated vocabulary lists. To address these issues, the project team is developing an AI assistant for language professors, along with tools that allow curriculums to stay current with changes in the language. Existing teaching materials for Hindi are rigid and overly formal, teaching a “pure” version of the language rooted in Sanskrit, and do not account for colloquialisms or loan words from other languages. The project’s goal is to address the challenges faced by less commonly taught languages, such as Hindi, which often struggle to keep up with the changes in language. Xiaodi Ruan, a Computer Science student at Vanderbilt, and Sean Onamade, an intern at Vanderbilt University Medical Center, also worked on the project. Your all-in-one platform for creating Presentations, Documents, Data Visualizations, Videos and other branded content. Elliott McCarter, and Data Scientist, Umang Chaudhry led the research project. The team is developing an AI assistant for language professors and tools that keep the curricula up-to-date with changes in the Hindi language. The Vanderbilt University Data Science Institute made progress this semester on a research project to bridge the gap in language acquisition of low-resource languages through deep learning.
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