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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]
Retrieval Augmented Generation (RAG) is a technique that grants generative artificial intelligence models information retrieval capabilities. It modifies interactions with a large language model (LLM) so that the model responds to user queries with reference to a specified set of documents, using this information to augment information drawn from its own vast, static training data.
A large language model (LLM) is a type of machine learning model designed for natural language processing tasks such as language generation. As language models, LLMs acquire these abilities by learning statistical relationships from vast amounts of text during a self-supervised and semi-supervised training process. [1]
Vicuna LLM is an omnibus Large Language Model used in AI research. [1] Its methodology is to enable the public at large to contrast and compare the accuracy of LLMs "in the wild" (an example of citizen science ) and to vote on their output; a question-and-answer chat format is used.
Here's how we compiled the list: We pored through 30-year average snowfall statistics of hundreds of locations in the U.S. from 1991 through 2020. We considered only those towns and cities with a ...
For example, Markdown plugins exist for every major blogging platform. [ 12 ] While Markdown is a minimal markup language and is read and edited with a normal text editor , there are specially designed editors that preview the files with styles, which are available for all major platforms.
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Instead, rice and veggies are baked on a hot sheet pan alongside green beans and salmon coated in a sweet teriyaki glaze. Microwaveable precooked rice or leftover brown rice works well here.