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2. Microsoft Access - Wikipedia

   en.wikipedia.org/wiki/Microsoft_Access

   Microsoft Access. Microsoft Access is a database management system (DBMS) from Microsoft that combines the relational Access Database Engine (ACE) with a graphical user interface and software-development tools. It is a member of the Microsoft 365 suite of applications, included in the Professional and higher editions or sold separately.

3. Linux - Wikipedia

   en.wikipedia.org/wiki/Linux

   They hold meetings and provide free demonstrations, training, technical support, and operating system installation to new users. Many Internet communities also provide support to Linux users and developers. Most distributions and free software / open-source projects have IRC chatrooms or newsgroups.

4. Apache Hadoop - Wikipedia

   en.wikipedia.org/wiki/Apache_Hadoop

   Apache Hadoop (/ h ə ˈ d uː p /) is a collection of open-source software utilities that facilitates using a network of many computers to solve problems involving massive amounts of data and computation.

5. Google Docs - Wikipedia

   en.wikipedia.org/wiki/Google_Docs

   Google Docs is an online word processor included as part of the free, web-based Google Docs Editors suite offered by Google, which also includes Google Sheets, Google Slides, Google Drawings, Google Forms, Google Sites and Google Keep. Google Docs is accessible via an internet browser as a web-based application and is also available as a mobile ...

6. IBM Db2 - Wikipedia

   en.wikipedia.org/wiki/IBM_Db2

   IBM Db2 Community Edition is a free to download, use and redistribute edition of the IBM Db2 data server, which has both XML database and relational database management system features. It is limited to four CPU cores, 16 GB of RAM and no Enterprise support and fix packs. Db2 Community Edition has no limit on number of users or database size.

7. Transformer (deep learning architecture) - Wikipedia

   en.wikipedia.org/wiki/Transformer_(deep_learning...

   v. t. e. A transformer is a deep learning architecture developed by Google and based on the multi-head attention mechanism, proposed in a 2017 paper "Attention Is All You Need". [1] Text is converted to numerical representations called tokens, and each token is converted into a vector via looking up from a word embedding table. [1]