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The module comprises four sections, with ten questions in each section. It takes 40 minutes: 30 - for testing, plus 10 for transferring the answers to an answer sheet. Sections 1 and 2 are about everyday, social situations. Section 1 has a conversation between two speakers (for example, a conversation about travel arrangements)
T5 (Text-to-Text Transfer Transformer) is a series of large language models developed by Google AI.Introduced in 2019, T5 models are trained on a massive dataset of text and code using a text-to-text framework.
The Common European Framework of Reference for Languages: Learning, Teaching, Assessment, [1] abbreviated in English as CEFR, CEF, or CEFRL, is a guideline used to describe achievements of learners of foreign languages across Europe and, increasingly, in other countries. The CEFR is also intended to make it easier for educational institutions ...
Matter is an open-source connectivity standard for smart home and IoT (Internet of Things) devices. It aims to improve interoperability and compatibility between different manufacturer and security, and always allowing local control as an option.
Side effects were reported in 69 percent of people taking evolocumab in clinical trials, including: swelling or rash at the injection site. limb pain. fatigue. Less than 1 percent of people in the ...
Inside the Actors Studio is an American talk show that airs on Ovation.The series premiered in 1994 on Bravo where it aired for 22 seasons and was hosted by James Lipton from its premiere until 2018.
Google Scholar is a freely accessible web search engine that indexes the full text or metadata of scholarly literature across an array of publishing formats and disciplines. . Released in beta in November 2004, the Google Scholar index includes peer-reviewed online academic journals and books, conference papers, theses and dissertations, preprints, abstracts, technical reports, and other ...
Example of an Ngram query. The Google Ngram Viewer or Google Books Ngram Viewer is an online search engine that charts the frequencies of any set of search strings using a yearly count of n-grams found in printed sources published between 1500 and 2019 in Google's text corpora in English, Chinese (simplified), French, German, Hebrew, Italian, Russian, or Spanish.