ChatGPT beam search and a GPT glossary

TL:DR – A number of people were reaching Sciencebase searching for the phrase ChatGPT beam search so I asked ChatGPT itself to give me a definition. I then asked it to create a glossary of common GPT terms. ChatGPT, the AI language model is essentially an incredibly sophisticated autocomplete program that responds to text prompts by predicting what might come next. Here’s its response to my prompt asking it for a definition of ChatGPT beam search: Beam search is a search algorithm used in Natural Language Processing (NLP) to find the most likely sequence of words or phrases that represent the best possible solution, given a set of choices. In simpler terms, when trying to predict the next word or sequence of words in a sentence, there are often multiple possibilities that could be correct. The beam search algorithm helps to narrow down the number of options and find the most likely option based on the context and probability of each word or phrase. The “beam” in beam search refers to the number of possible options that the algorithm keeps in consideration at each step of the search. By limiting the number of options to a certain “beam width”, the algorithm can efficiently explore the search space and find the best solution more quickly than exhaustively considering all possible options. I then asked it to generate a glossary of the most important terms in discussions of ChatGPT: Natural Language Processing (NLP): A field of study that foc...
Source: David Bradley Sciencebase - Songs, Snaps, Science - Category: Science Authors: Tags: Artificial Intelligence Source Type: blogs