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Three of The Most Powerful AI Essay Writers: A Quick Overview

You must have used an online essay help when you urgently needed some instant essay help online But have you ever wondered how those things work? What goes on behind the scenes that enable them to craft near-human level written content?

If you are interested, then this write-up offers revelatory insights.

Natural Language Processing

Natural Language Processing (NLP) is the branch of AI concerned with understanding, processing & generating natural human language.

NLP combines computational linguistics with statistics, computational geometry, machine learning, and deep learning. These aspects of NLP come together to perform various tasks such as real-time machine translation, content generation, voice-operated systems, digital assistants, speech-to-text dictation, spam detection, sentiment analysis, chatbots, and AI Fast essay writing service assistants or Paper Writing Help, etc.


Three potent & recent NLP models have successfully overcome all bottlenecks in the field. They are Google’s BERT & PaLM and FastAI’s ULMFiT.

  • BERT:Google’s Bidirectional Encoder Representations from Transformers model delivers accurate results for most NLP tasks. The key technical innovation for BERT is the application of bidirectional training of Transformers, popular attention models. Attention models are a type of deep learning systems mechanisms that can focus specifically on a particular component.

  • ULMFiT: Developed by FastAI and the NUI Galway Insight Center, the Universal Language Model Fine-Tuning for Text Classification uses the inductive transfer learning process. It is a powerful technique that works for every type of NLP task. Additionally, the model also employs techniques to fine-tune other language models.

  • PaLM: The latest in Google's research in large-language models is the Pathways system, a single model that can generalise across numerous domains & tasks with high efficiency. The Pathways Language Model (PaLM) is a 540-billion parameter dense decoder-only transformer model that is the next beast in line. PaLM achieved outstanding results on numerous text-to-code & code-to-code tasks after undergoing semi-supervised learning on web pages, Wikipedia, books, and even open-source programming codes.

Well, that’s all the space we have for today. If you are interested in AI and NLP, know that you need solid math, computer, and linguistic skills. The field combines computational linguistics and machine learning to develop AI models with human-level natural language understanding, so you have got your work cut out for you!

All the best!

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