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A prompt may include a few examples for a model to learn from, such as asking the model to complete "maison → house, chat → cat, chien →" (the expected response being dog), [31] an approach called 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)
Some examples of commonly used question answering datasets include TruthfulQA, Web Questions, TriviaQA, and SQuAD. [123] Evaluation datasets may also take the form of text completion, having the model select the most likely word or sentence to complete a prompt, for example: "Alice was friends with Bob. Alice went to visit her friend, ____". [1]
Epilogue – a piece of writing at the end of the a book which brings closure to the work. Afterword – a piece of writing covering the story of how the book came into being; Appendix – supplemental addition to the given work that details information found in the body; Glossary – a set of definitions of words important to the work.
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LangChain was launched in October 2022 as an open source project by Harrison Chase, while working at machine learning startup Robust Intelligence. The project quickly garnered popularity, [3] with improvements from hundreds of contributors on GitHub, trending discussions on Twitter, lively activity on the project's Discord server, many YouTube tutorials, and meetups in San Francisco and London.
The U.S. real estate market has another year in the books after 2024 came to a close this week. While the median that homes sold for clocked in at $383,725 for the four weekings ending Dec. 22 ...
The key to solving JonBenét Ramsey's murder could lie in evidence found at the scene nearly 30 years ago.. When police searched the 6-year-old’s home in Boulder, Colo., on Dec. 26, 1996, they ...