GPT-4: A New Phase of Natural Language Processing and Strategies for Free Use

GPT-4: A New Stage in Natural Language Processing
GPT-4 Overview
GPT-4 is an advanced Natural Language Processing (NLP) model innovated by OpenAI and belongs to the fourth improved generation of the GPT family. This advanced model utilizes cutting-edge neural network technology in order to mimic the ability of human language comprehension and generation.
How to utilize GPT-4 for free
For those who wish to experience the power of GPT-4 without the cost of a membership, there are multiple ways to try. For a detailed step-by-step guide, check out this article, which details 6 different strategies.
Technical details of GPT-4
At the heart of GPT-4 is its unique "transformer" architecture, which allows the software to deeply understand the meaning of words and their relationships within sentences. This technique is based on pre-training the model on a massive dataset containing text from a variety of sources, including books, articles, and websites, which develops GPT-4's ability to humanize conversations and generate substantive responses. However, while GPT-4 performs well at generating text, it does not possess true consciousness and falls short of the full self-awareness of general-purpose artificial intelligence (AGI).
Workflow of GPT-4
The GPT-4 effort is based on a similar but more extensive technical process than its predecessor, including the following core components:

Transformer Architecture: GPT-4 utilizes this architecture to recognize the importance of key terms and their interconnections.
Massive Pre-training: Through extensive reading of books, web content and documents, GPT-4 learns to master language patterns and grammar.
Fine-tuning: on top of extensive language learning, the GPT-4 is further trained in specific tasks, such as answering user questions or interpreting emotions in text.
Lexical processing: Text is divided into lexical units or lexical parts, called "tokens", to optimize processing and lexical understanding across languages.
Contextual Window Processing: the GPT-4 has a limit on the number of tokens that can be used in understanding context and lexical relationships, which helps to refine its comprehension.
Probability distribution and text generation: when generating text, the model selects the next appropriate word based on the predicted probability of each word.
Fine-grained control: With special prompts or model setting adjustments, the GPT-4 can be precisely guided to output specific types of text or answers.

Difference between ChatGPT and GPT-4
ChatGPT is not equivalent to GPT-4. ChatGPT is based on the previous generation of GPT models (including GPT-3.5) and is especially designed for conversational AI, aiming to provide human-like text responses. And GPT-4, as the current state-of-the-art language model, is the core of ChatGPT conversational engine.
Free accessibility of GPT-4
While there are multiple ways to access an AI conversation system that utilizes GPT-4 functionality through software platforms such as ChatGPT and New Bing, the full-featured version of GPT-4 is part of a paid subscription to ChatGPT Plus. New Bing, on the other hand, gives users limited free daily access to GPT-4 powered AI chat. For other individual users, the full functionality of GPT-4 is not available without going through these platforms.