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2. Google Classroom - Wikipedia

   en.wikipedia.org/wiki/Google_Classroom

   Google Classroom is a free blended learning platform developed by Google for educational institutions that aims to simplify creating, distributing, and grading assignments. The primary purpose of Google Classroom is to streamline the process of sharing files between teachers and students. [3] As of 2021, approximately 150 million users use ...

3. List of ongoing armed conflicts - Wikipedia

   en.wikipedia.org/wiki/List_of_ongoing_armed...

   Wars (1,000–9,999 combat-related deaths in current or previous year) The 15 conflicts in the following list have caused at least 1,000 and fewer than 10,000 direct, violent deaths in the current or previous calendar year.

4. Massive open online course - Wikipedia

   en.wikipedia.org/wiki/Massive_open_online_course

   A massive open online course ( MOOC / muːk /) or an open online course is an online course aimed at unlimited participation and open access via the Web. [1] In addition to traditional course materials, such as filmed lectures, readings, and problem sets, many MOOCs provide interactive courses with user forums or social media discussions to ...

5. AOL Mail

   mail.aol.com

   Get AOL Mail for FREE! Manage your email like never before with travel, photo & document views. Personalize your inbox with themes & tabs. You've Got Mail!

6. AOL online classes FAQs - AOL Help

   help.aol.com/articles/aol-online-classes-faqs

   To watch a class that is on replay, you do not need to do anything. The class will automatically play. To watch a class that is live, click Enter Class. Click Watch Live or Restart Class if the class has already started. To watch an upcoming class, stay on the page until the video begins. Click Watch Previous Class to view the previous class.

7. Large language model - Wikipedia

   en.wikipedia.org/wiki/Large_language_model

   size of its (pre-)training dataset (i.e. number of tokens in corpus, ), performance after (pre-)training. They are related by simple statistical laws, called "scaling laws". One particular scaling law ("Chinchilla scaling") for LLM autoregressively trained for one epoch, with a log-log learning rate schedule, states that: