7 Matching Annotations
  1. Last 7 days
    1. many search engines use a  language-based model generated by deep neural networks.

      I think understanding the difference between indexing and ranking is useful. Once the information is indexed, it is organized, while ranking is judgments made about quality, popularity and relevance. The use of neural language models is interesting, but there is still room for improvement. It makes me think about transparency and accountability, since we as users never see which results get priority over others.

    2. As parts of a word, the total number of different tokens that need to be stored is reduced

      This clarifies how AI processes language, and it is interesting how it is pieced together as opposed to simply being complete ideas. I do believe that it improves efficiency, but it does show a gap between human meaning and artificial intelligence. Once the language is broken up into tokens, I think it's easier to identify patterns, but it doesn't necessarily equate to better understanding which is an inherent weakness of ai.

    3. “Index” by Ben Weiner is licenced under CC BY-ND 2.0. To view a copy of this licence, visit https://creativecommons.org/licenses/by-nd/2.0/?ref=openverse. Once the data is tucked away in BigTables

      I think it is interesting how documents are transformed into structured data. Metadata, titles, and links are given preference which can influence how certain Publications are formatted or writing styles. This also makes me think that information is not necessarily neutral once it is entered into the AI system, it's more about predefined categories. It also makes me wonder how bias comes into play especially if the data is misleading or unevenly applied.

    4. Web crawlers are pieces of code that find and down

      The description of web crawlers highlights how information is shaped before a query is even inputted. I did not know that Crawlers only index sites that allow access, so there is much of the internet that may not be available due to policy restrictions. It also makes me wonder who regulates the ethical decisions that are made as far as which information is presented and what is invisible. With that in mind, I think it puts smaller organizations at a disadvantage due to how it's set up.

    1. Knowledge is easily available

      This is a true statement. Me and my partner she and I discussed how much information children have readily available as opposed to what we had when we were that age.

    2. We have been taught to have confidence in books. Publishers, librarians, professors and subject-matter special

      Well, we've also been told to make these assumptive inferences about the validity of the Bible. Just because it is a written book, doesn't qualify it as a work to have confidence in.

    1. An algorithm is a fixed sequence of instructions for carrying out a task. It breaks down the task into easy, confusion-free steps, like a well written recipe.

      I typically hear about algorithms all the time when utilizing social media such as Facebook or Instagram, and youtube. It's really interesting how they determine what videos are put into the algorithm, and which ones are not.