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2. Preferred Reporting Items for Systematic Reviews and Meta ...

   en.wikipedia.org/wiki/Preferred_reporting_items...

   The PRISMA flow diagram, depicting the flow of information through the different phases of a systematic review. PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) is an evidence-based minimum set of items aimed at helping scientific authors to report a wide array of systematic reviews and meta-analyses, primarily used to assess the benefits and harms of a health care ...

3. Literature review - Wikipedia

   en.wikipedia.org/wiki/Literature_review

   Either way, a literature review provides the researcher/author and the audiences with general information of an existing knowledge of a particular topic. A good literature review has a proper research question, a proper theoretical framework, and/or a chosen research methodology. It serves to situate the current study within the body of the ...

4. Semantic Scholar - Wikipedia

   en.wikipedia.org/wiki/Semantic_Scholar

   Semantic Scholar is a research tool for scientific literature. It is developed at the Allen Institute for AI and was publicly released in November 2015. [2] Semantic Scholar uses modern techniques in natural language processing to support the research process, for example by providing automatically generated summaries of scholarly papers. [3]

5. Huh? Here's Exactly What 'HEA' Means in a Book - AOL

   www.aol.com/lifestyle/huh-heres-exactly-hea...

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6. Review article - Wikipedia

   en.wikipedia.org/wiki/Review_article

   A review article is an article that summarizes the current state of understanding on a topic within a certain discipline. [1] [2] A review article is generally considered a secondary source since it may analyze and discuss the method and conclusions in previously published studies.

7. Retrieval-augmented generation - Wikipedia

   en.wikipedia.org/wiki/Retrieval-augmented_generation

   Retrieval-augmented generation (RAG) is a technique that grants generative artificial intelligence models information retrieval capabilities. It modifies interactions with a large language model (LLM) so that the model responds to user queries with reference to a specified set of documents, using this information to augment information drawn from its own vast, static training data.