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  2. Large language model - Wikipedia

    en.wikipedia.org/wiki/Large_language_model

    A large language model (LLM) is a type of machine learning model designed for natural language processing tasks such as language generation. LLMs are language models with many parameters, and are trained with self-supervised learning on a vast amount of text. The largest and most capable LLMs are generative pretrained transformers (GPTs).

  3. Prompt engineering - Wikipedia

    en.wikipedia.org/wiki/Prompt_engineering

    As originally proposed by Google, [16] each CoT prompt included a few Q&A examples. This made it a few-shot prompting technique. However, according to a researchers at Google and the University of Tokyo, simply appending the words "Let's think step-by-step", [25] has also proven effective, which makes CoT a zero-shot prompting technique. OpenAI ...

  4. GPT-3 - Wikipedia

    en.wikipedia.org/wiki/GPT-3

    GPT-3 is capable of performing zero-shot and few-shot learning (including one-shot). [1] In June 2022, Almira Osmanovic Thunström wrote that GPT-3 was the primary author on an article on itself, that they had submitted it for publication, [24] and that it had been pre-published while waiting for completion of its review. [25]

  5. Neural machine translation - Wikipedia

    en.wikipedia.org/wiki/Neural_machine_translation

    A generative LLM can be prompted in a zero-shot fashion by just asking it to translate a text into another language without giving any further examples in the prompt. Or one can include one or several example translations in the prompt before asking to translate the text in question. This is then called one-shot or few-shot learning, respectively.

  6. Is Victor Wembanyama the biggest unicorn ever to play in the ...

    www.aol.com/sports/victor-wembanyama-biggest...

    Just how rare is San Antonio Spurs budding star Victor Wembanyama? Tom Haberstroh and Dan Devine dive deep into the numbers to illustrate how much of a unicorn the French big man is becoming in ...

  7. Few-shot learning - Wikipedia

    en.wikipedia.org/wiki/Few-shot_learning

    Few-shot learning and one-shot learning may refer to: Few-shot learning, a form of prompt engineering in generative AI; One-shot learning (computer vision)

  8. James scores 32, Lakers sweep 2-game set against Kings with ...

    www.aol.com/james-scores-32-lakers-sweep...

    LeBron James had 32 points and the Los Angeles Lakers beat the Sacramento Kings 103-99 to sweep a two-game set on Saturday. Trailing 101-99 with 12 seconds left, the Kings had a chance to tie ...

  9. 9 NBA Observations: Wemby needs to step up, Sixers in trouble ...

    www.aol.com/sports/9-nba-observations-wemby...

    The 2024-2025 NBA season is around its 9-game mark as of Thursday night, so Kevin O'Connor is joined by Tom Haberstroh to share 9 observations about the league and its trends at this roughly 10% ...