Artificial intelligence (AI) is the use of technology that can perform human tasks. Unlike, the human brain, such technologies use programming languages to complete these activities. Few tasks that an artificial technology can perform are;
- Visual perception
- Detection of programming errors
- Speech Recognition
- Decision making
In the current era of machine learning, AI aims to replace the needs of man to perform various tasks like writing practices. In childhood, we saw people in continuous search for a proofreader for their books and novels. But, now the automated spell checkers replace the human proofreaders. For example, the use of MS word office (auto-correction) indicates spelling or simple tense errors. The sign of spelling or spacing errors while writing help writers to correct most of the errors in a rough draft. Hence, this article will give details showing the impact of AI on the current writing process. This article will portray a picture of the future of writing processes by using AI.
Automated Spelling Checker And Writing Process
The pattern matching Algorithm helps the spelling checkers to detect spelling errors. Unlike, human editors such software use Artificial intelligence to locate human errors. But this software has no concerns about what does the writer means? They find errors to change the sentence in the most common way of writings. Sometimes, the sentence paraphrased by using AI software does not match with the writer’s sense. Hence, no doubt AI worked a lot for bringing innovation in the field of writing. But, in the true sense, no artificial things can replace natural intelligence. Automated software follows pattern matching Algorithms, so you will still need an intelligent mind to overcome the weakness of AI. Natural intelligence is working to overcome these weaknesses of artificial intelligence. The upcoming models, such as GPT-3, will overcome the typical spell checkers issues.
It is a (third generation) Generative Pre-determined Transformer. GPT-3 is a machine learning program that uses internet sources to auto-generate any text of your choice. GPT-3 needs a small amount of text to generate a large amount of relevant auto-generated text.
Microsoft’s Turing NLG Model
Before GPT-3, the large pre-trained model available was Microsoft’s Turning NLG model. This before used model included only 10 billion machine learning parameters. But, the new version of this model, GPT-3, uses 175 billion such learning parameters. The detailed review of learning parameters of GPT-3 and other previous models revealed that GPT-3 is efficient enough. It can produce a large amount of text almost identical to human-written text. But like other AI writing applications, GPT-3 also has some limitations. A few of them are;
- It does not have long term memory.
- It can describe other findings but cannot check and analyse things
- If you want to recognise the work done by GPT-3, you must read the analysis part of the text. The text produced by such programmes will lack a critical thinking approach.
- At a few points, you will notice are that the software had over-extended the few input resources to increase the length of the text.
- The GPT-3 produced high-quality text. This will bring reading difficulties for readers.
AI And Media Content Generation
Artificial intelligence has a drastic effect on the writing process. Throughout the world, most media organisations are using AI automated programs to publish stories. The name of few organisations that are currently using AI for content generations are;
- The New York Times
- Associated Press
- Washington Post
Among all, The Press Association is one of the most prominent AI users. This association is producing 30, 0000 new stories per month by using AI tools.
Natural Learning Generation
According to a dissertation help firm, the majority of people are curious to know how AI can produce content? The answer is, ‘Natural learning generation’. NLG is software that can convert your input data into written content. The NLG can perform the following tasks;
- Business data reports
- Business intelligence report
- In-app messaging communication
- Personalised email
- Client financial portfolio
The first step of NLG is the selection of the writing formate. As different content writing has different structures and styles. After the selection of the essay type, you have to enter input in the form of template. NLG will use the input template to produce content of your choice. Brand names of NLG software available in the market are;
- Amazon’s Polly
- Google’s Text-to-Speech
- Quill from Narrative Science
- Wordsmith from Automated Insights
- Heliograf at the Washington Post
In the last few years, Artificial intelligence has done a lot of work to solve major writing issues a writer can face in writing. In academic research writing, all you need is to translate others works into your own words to support your argument. Translation and paraphrasing are among the most important skills that a writer should get. The list of the new online translator that can help you translate you’re in few minutes are;
- Translation Agency
- Free Dictionary
- XTM Cloud
All online translators have their specific features. They can increase the efficiency of human writing or translating skills. But, all these tools have their own flaws. The online translator has several benefits. You can develop an initial understanding of concepts that appear difficult. Such difficulties may be due to language translation problems. Yet, no online editor or translator can defeat the intelligence level of the human brain.
Can AI Defeat Human Intelligence?
After reporting AI advances in content writing, at the end this article will address the most frequent question.
Will Artificial intelligence replace human writers shortly?
If you are a writer and have similar questions in your mind, then you don’t need to get worried. This is because writing isn’t an act of rearranging words. Literature publishers will always need innovative ideas to take the world to the next level. So, writing world will always need human brain to convey written messages.