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Download as PDF; Printable version; In other projects ... move to sidebar hide. Few-shot learning and one-shot learning may refer to: Few-shot learning, a form of ...
Self-refine [33] prompts the LLM to solve the problem, then prompts the LLM to critique its solution, then prompts the LLM to solve the problem again in view of the problem, solution, and critique. This process is repeated until stopped, either by running out of tokens, time, or by the LLM outputting a "stop" token. Example critique: [33]
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.
A February 2019 article in The Verge by James Vincent said that, while "[the] writing it produces is usually easily identifiable as non-human", it remained "one of the most exciting examples yet" of language generation programs: [17] Give it a fake headline, and it’ll write the rest of the article, complete with fake quotations and statistics.
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. This page lists notable large language models.
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.
MOSCOW (Reuters) - Russian President Vladimir Putin on Monday accused the West of pushing Russia to its "red lines" - situations it has publicly made clear it will not tolerate - and said Moscow ...
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.