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Self-refine [38] 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: [38]
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)
Prompt injection is a family of related computer security exploits carried out by getting a machine learning model (such as an LLM) which was trained to follow human-given instructions to follow instructions provided by a malicious user. This stands in contrast to the intended operation of instruction-following systems, wherein the ML model is ...
Emma Roberts has shared that the latest selection for her book club, Belletrist, will be the nonfiction book Didion and Babitz by Lili Anolik. The selection marks the beginning of a partnership ...
For example, “Tell me about one of the best days you can remember” might elicit a story about someone’s wedding, and if you’re not keeping up with your question queue and let “What was ...
At the time of this writing, AMD trades at a forward price-to-earnings (P/E) multiple of 29. By comparison, Nvidia's forward P/E ratio is currently 34. By comparison, Nvidia's forward P/E ratio is ...
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.
It is often simply called a book club, a term that may cause confusion with a book sales club. Other terms include reading group , book group , and book discussion group . Book discussion clubs may meet in private homes, libraries , bookstores , online forums, pubs, and cafés, or restaurants, sometimes over meals or drinks.