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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]
Prompt injection is a family of related computer security exploits carried out by getting a machine learning model which was trained to follow human-given instructions (such as an LLM) 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 ...
An example of such a task is responding to the user's input '354 * 139 = ', provided that the LLM has not already encountered a continuation of this calculation in its training corpus. [dubious – discuss] In such cases, the LLM needs to resort to running program code that calculates the result, which can then be included in its response.
Grok-2 mini is a “small but capable sibling” of Grok-2 that “offers a balance between speed and answer quality”, according to xAI, and was released on the same day of the announcement. [25] Grok-2 was released six days later, on August 20.
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.
The Marketside Broccoli Florets bags affected have a UPC code of 6 81131 32884 5 on the back of the package, a Best if Used by Date of December 10, 2024, ... USA TODAY Sports.
This time, near the very end of a mostly agonizing season, the Cincinnati Bengals made enough plays to win. Joe Burrow threw his third touchdown pass to Tee Higgins with 1:07 left in overtime, and ...
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.