Feb 223 min read

Evolution of ChatGPT and its Impact

One language model in particular has distinguished itself over time in the rapidly changing field of artificial intelligence

In addition to a team of scientists and research engineers, Elon Musk, Sam Altman, Greg Brockman, and Ilya Sutskever, who served as research director, launched OpenAI in 2015. Developing artificial general intelligence (AGI) for human benefit was the founding goal of OpenAI, a non-profit artificial intelligence research group.
Elon Musk left the OpenAI board in 2018 but continued to be a major investor. Sam Altman took over as CEO of OpenAI in 2019. Simultaneously, the company reorganized under a capped-profit model in an effort to draw in additional capital and quicken the advancement of artificial intelligence. The non-profit OpenAI Inc. continued to be in charge of the for-profit OpenAI LP, which was established as a result of the reorganization.

It's not just ChatGPT that OpenAI offers. Among the other noteworthy technologies it created are:

Codex is an artificial intelligence system that can translate textual content into numerous programming languages. It was developed based on the GPT-3 model, made public in August 2021, and debuted in collaboration with GitHub in July 2021.

An AI system called DALL-E uses text descriptions to generate realistic visuals. January 2021 saw the release of the first version, and April 2022 saw the release of the second.

GPT-1, OpenAI's first transformer-based language model, was released in June 2018. At the time, GPT-1 was one of the most well-known language models, with 117 million parameters. The model was able to execute a number of tasks, such as textual alignment, semantic similarity, reading comprehension, commonsense reasoning, and sentiment analysis, using books as training material.
GPT-2 was released by OpenAI in February 2019. The internet provided the 1.5 billion parameters for the model's training. Without task-specific training, it was capable of carrying out a wider range of tasks.

GPT-3 was released by ChatGPT firm in 2020. It is the only GPT model that may be adjusted as of August 2023. With 175 billion parameters, GPT-3 is far more capable than its predecessors. However, worries about its susceptibility to biases and misinformation persisted. Thus, rather than making the model publicly available, OpenAI made GPT-3 accessible to the general public via an API. This gave other parties access to the core technology, but OpenAI still has some control over how it is used.
The model underlying ChatGPT, called GPT-3.5, is an improved version of GPT-3 that has the ability to comprehend and produce plain language and code.

In March 2023, OpenAI made its GPT-4 model available to ChatGPT Plus subscribers who paid for it. ChatGPT's performance was much enhanced by the model, particularly for difficult jobs. It also represents OpenAI's attempts to reduce the number of unwanted or damaging responses. The context window grew from about 3,000 words at ChatGPT's release to roughly 25,000 words for GPT-4, which is the main difference between GPT-3.5 and GPT-4.
GPT-4 was released shortly after ChatGPT, and there have already been some whispers regarding GPT-5. In July 2023, OpenAI even submitted a trademark application for GPT-5, which is currently being reviewed by the USPTO. However, Sam Altman, CEO of OpenAI, stated that the business is not currently developing the next model and has not set a release date, highlighting the amount of work required to solve safety concerns in advance.

Research on natural language processing (NLP) has greatly benefited from ChatGPT. Being among the most potent and sophisticated language models, ChatGPT has paved the way for new research directions and helped to push the limits of natural language processing.
ChatGPT is largely responsible for the impact on NLP research because it is a potent language generating tool. Because of the model's capacity to produce content that sounds natural, more studies have been conducted in fields like creative writing, summarization, and text completion. Research on additional NLP tasks including language translation, sentiment analysis, and intent identification has also been prompted by its capacity to focus on certain tasks and comprehend context.
All things considered, ChatGPT has significantly influenced NLP research by offering a potent instrument for language creation and comprehension, establishing a standard against which other models must be measured, and igniting curiosity about uncharted territory.

DATADNA