The Development of Large Language Models in AI and its Affect on Novel Writing
Category Artificial Intelligence Friday - April 28 2023, 07:35 UTC - 1 year ago Large Language Models (LLM) is a big leap forward in artificial intelligence development, as it effectively enables AI to write stories and novels with an unprecedented range of length - ranging anywhere from a few words, even up to millions of words. AI is still in its early stages of development when it comes to writing intricate stories and novels, but the advancements made in LLM demonstrate that the gap between human writing and AI-enabled services is becoming smaller and smaller. AI's capabilities for writing can even outdo human-written stories in certain aspects and the surge in AI-written articles have led to the creation of start-up companies specialized in the review and proofreading of AI written works.
Large Language Models (LLM) is a big leap forward in artificial intelligence development, as it effectively enables AI to write stories and novels with an unprecedented range of length - ranging anywhere from a few words, even up to millions of words.
In the past, AI had not been able to write a book with the scale and depth of a human-written novel, so the development of LLM is a major accomplishment. Large Language Models have already been put to use in many different applications across the world and have proven to be successful in deploying stories and novels.
For example, Les Miserables by Victor Hugo has about 545,000 words and the total Harry Potter (by JK Rowling) series word count is 1,084,625. To further drive the point home, Lord of the Rings by JRR Tolkien is 550,000 words, the current five novels of the Game of Thrones series is nearly 1.74 million words, and the 14 books in the Wheel of Time by Robert Jordan is almost 4.3 million words.
War and Peace by Tolstoy has 587,287 words - so it falls within the boundaries of what a Large Language Model is capable of. LLM was achieved using the Recurrent Memory Transformer architecture, which allows for the storage and processing of both local and global information and enables information flow between segments of the input sequence through the use of recurrences. This technology is significant as it might finally make it possible to give AI a sense of understanding the contexts of the conversations and surroundings. This in itself can open up the possibility for AI to generate more natural stories.
AI is still in its early stages of development when it comes to writing intricate stories and novels, but the advancements made in LLM demonstrate that the gap between human writing and AI-enabled services is becoming smaller and smaller. AI's capabilities for writing can even outdo human-written stories in certain aspects - as AI generated content can be indistinguishable from human generated content and have greater detail on certain topics.
Moreover, an increase in the need of content due to the pandemic has led to a surge in AI-written articles and newspapers. This in itself has led to the creation of start-up companies specialized in the review and proofreading of AI written works. Publications aiming to fill the need of content have also taken up AI written articles in recent times.
As AI development progresses, more and more advancements can be expected in the field of writing - with AI-written novels becoming more and more frequent in the future. The possibilities with this technology have implications beyond just writing novels, as other applications such as “chat bots” could also make use of Large Language Models to generate more natural conversations.
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