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  2. Hot Topic - Wikipedia

    en.wikipedia.org/wiki/Hot_Topic

    Hot Topic, Inc. (stylized as HOT TOPIC) is an American fast-fashion company specializing in counterculture-related clothing and accessories, as well as licensed music. The stores are aimed towards an audience interested in rock music and video gaming , and most of their audience ranges from teens to young adults.

  3. ChatGPT - Wikipedia

    en.wikipedia.org/wiki/ChatGPT

    ChatGPT is a chatbot and virtual assistant developed by OpenAI and launched on November 30, 2022. Based on large language models (LLMs), it enables users to refine and steer a conversation towards a desired length, format, style, level of detail, and language. Successive user prompts and replies are considered at each conversation stage as context.

  4. List of African-American inventors and scientists - Wikipedia

    en.wikipedia.org/wiki/List_of_African-American...

    African Americans have been the victims of oppression, discrimination and persecution throughout American history, with an impact on African-American innovation according to a 2014 study by economist Lisa D. Cook, which linked violence towards African Americans and lack of legal protections over the period from 1870 to 1940 with lowered innovation. [1]

  5. Web query classification - Wikipedia

    en.wikipedia.org/wiki/Web_query_classification

    Since the manually labeled training data for query classification is expensive, how to use a very large web search engine query log as a source of unlabeled data to aid in automatic query classification becomes a hot issue. These logs record the Web users' behavior when they search for information via a search engine.

  6. LinkedIn’s AI job coach can write your cover ... - Engadget

    www.engadget.com/linkedins-ai-job-coach-can...

    You can upload a copy of your current resumé and LinkedIn’s AI will provide tips on what to update based on the job description. This can include suggestions on specific experiences to ...

  7. Zero-shot learning - Wikipedia

    en.wikipedia.org/wiki/Zero-shot_learning

    Zero-shot learning. Zero-shot learning ( ZSL) is a problem setup in deep learning where, at test time, a learner observes samples from classes which were not observed during training, and needs to predict the class that they belong to. The name is a play on words based on the earlier concept of one-shot learning, in which classification can be ...

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