Current location - Quotes Website - Excellent quotations - What is the literary creation tool of artificial intelligence?
What is the literary creation tool of artificial intelligence?
ERNIE Bot is a text generation tool based on artificial intelligence technology, which can generate various types of short texts, such as famous sayings, aphorisms and inspirational statements. It uses a deep learning model, which can automatically generate content and improve the quality of generation through continuous learning and optimization. It is understood that ERNIE Bot has many usage scenarios and abilities, including literary creation, mathematical calculation, Chinese understanding and multimodal generation.

1. In the scene of literary creation, ERNIE Bot summarized the core content of the famous science fiction novel Three-body according to the question of dialogue, and also put forward several suggestions for continuing to write Three-body. For the newer TV series version of "Three-body", ERNIE Bot also has corresponding data, which can answer factual questions such as cast list and actor characteristics.

2. In the mathematical logic calculation, ERNIE Bot answered the classic "chicken and rabbit in the same cage game" question, which not only understood the meaning of the question, but also listed the thinking of solving the problem and worked out the correct answer step by step. At the same time, it also recognized that one of the questions was wrong. ERNIE Bot has a certain thinking ability, and can learn such relatively complicated tasks as mathematical deduction and logical reasoning. However, at present, the accuracy rate is not 1%, and more time is needed to learn and grow.

3. In terms of Chinese comprehension, ERNIE Bot answered the meaning of "Luoyang paper is expensive", how expensive Luoyang paper was at that time, and the corresponding theory of this idiom in the current economic principles. This mainly reflects the advantages of ERNIE Bot as a large language model based on Chinese. However, at present, the model has not trained enough English languages and code scenes, and its performance is not good enough, so it needs to be further optimized and upgraded.