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Prompting LLM is presented with example input-output pairs, and asked to generate instructions that could have caused a model following the instructions to generate the outputs, given the inputs. Each of the generated instructions is used to prompt the target LLM, followed by each of the inputs.
The SLP prompting procedure uses and removes prompts by moving through a hierarchy from less to more restrictive prompts. [2] [3] [4] If the student emits the correct behavior at any point during this instructional trial [5] (with or without prompts), reinforcement is provided. The system of least prompts gives the learner the opportunity to ...
Attention deficit hyperactivity disorder management options are evidence-based practices with established treatment efficacy for ADHD.Approaches that have been evaluated in the management of ADHD symptoms include FDA-approved pharmacologic treatment and other pharmaceutical agents, psychological or behavioral approaches, combined pharmacological and behavioral approaches, cognitive training ...
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.
The student is then given prompts (i.e., two pieces of paper, with choices written on each) to represent the answer. [ 1 ] [ 2 ] [ 12 ] This procedure is repeated, using a combination of prompts provided by the facilitator to elicit a response.
ChatGPT is a generative artificial intelligence chatbot developed by OpenAI and launched in 2022. It is currently based on the GPT-4o large language model (LLM). ChatGPT can generate human-like conversational responses and enables users to refine and steer a conversation towards a desired length, format, style, level of detail, and language. [2]
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.
The two types of prompting in a behavior chain are either most to least(MTL) or least to most (LTM). MTL prompting is when the most intrusive prompt is introduced initially and then systematically faded out to least intrusive prompts. This prompting method is mainly used when the task analysis is being taught. [5]