Is GPT-5 really being launched? In today’s technology driven world, the use of AI Chatbots and especially GPT is being widely used. AI is not only employed in the technical world but is also used in sectors such as education, entertainment and is being used for various day-to-day tasks such as image generation, voice cloning, sound creation, video generation, gaming, etc. The increased use of AI Chatbots demand for a better version of these technologies and OpenAI is one such company that has announced the launch of GPT-5 after a recent launch of GPT-4 a few months ago. The use of AI Chatbots has taken up 70-80% of people’s work tasks and has reduced the workload that people otherwise had to face. This article will delve into the launch of GPT-5 and what one should expect from it and will enlighten you about what GPT is, how it evolved and how GPT-5 is better than GPT-4. But before diving into the world of GPT-5 and its advancements let’s take a look at what is GPT?
GPT usually refers to Generative Pre-Trained Transformer and is a form of a language model. However, when looked closely, GPT is a machine learning model utilizing deep neural networks to construct human-like texts or images. GPT either way helps in the everyday activities that include answering questions, translation of text, fetching of content from various websites, etc. The company OpenAI is credited for introducing this model and for making it better with a large dataset of text and code. GPT, with its powers, has altered the way in which a person might interact with computers.
GPT is considered to be a large language model or an LLM which utilizes the transformer’s architecture and was first constructed by OpenAI in the year 2018 with training based on large datasets. GPT is expected to read and understand patterns, grammar and other abilities from the data that is being fed in the form of these datasets. After properly tuning it and making it well aware of the requirements, it can further be employed to perform tasks which may range from image generation to technical works. The transfer part includes this process of fine tuning whereas the generative part includes the creation of new content on its own by analyzing, reviewing and researching data available on the web. The ability of content generation and the fact that GPT can perform various everyday tasks makes it a widely used application which aids a wide range of audiences.
GPT or ChatGPT is a powerful chatbot which was launched by OpenAI as an AI tool that would help people according to their requirements. It also interacts with the user as a confidant by using its GPT series and can answer them according to their questions or can perform tasks on the given commands. Due to its multitasking ability, this chatbot became the center of attraction and captivated the attention of a wide range of people worldwide. However, it wasn’t in the first go that GPT achieved everything. It went through various versions and changes in order to provide accuracy and time efficient services to users globally.
Evolution of GPT
- GPT-1: OpenAI developed the first model of the GPT series which is prominently known as GPT-1, and along with it came into existence the concept that text generation can be carried out through the transformer design. GPT-1 initially introduced the world with the idea that Generative pre-training can be used for content generation where the model will initially be trained using a wide dataset of text data which would help in making the system understand the text pattern and language which is being used. Making a use of 117 million parameters it gave a tough competition to the models being used in its times in terms of accuracy and result. It is considered the base or foundation of the GPT series and has ever since its launch created a way for the betterment and revolution of text and content generation.
- GPT-2: It was rather huge in comparison to GPT-1 and was trained using 1.5 billion parameters. It gave the model a better hold of the semantics and context of the real world language and brought with itself the concept of Task Conditioning which empowered GPT-2 to engage itself in multiple tasks at a single time via an unsupervised model through conditioning the output upon both input and task information. GPT-2 enlightens zero-shot learning as it carries out tasks based on the provided commands instead of any prior examples. Moreover, this version gained a better and efficient zero-shot transfer, portraying its ability to effectively comprehend and execute tasks with little to no examples.
- GPT-3: GPT-3 was trained on a much larger database than GPT-2 and consisted of 175 billion parameters. GPT-3 became more and more natural as it responded to various difficult commands and tasks. These tasks included writing lengthy essays, image generation, solving mathematical equations, naturally creating highly professional and efficient content, etc. It uses a higher level of common sense and reasoning and performs tasks better than any other AI app. It made work easy and helped in performing difficult tasks rather conveniently and systematically. It not only created human-like texts but also constructed programming code snippets and gave more innovative solutions. Its zero-shot and few shot capacities also increased and increased the accuracy rate where it solved uncommon problems with higher accuracy.
- Instruct GPT: It was a better and updated version of GPT-3 which was also referred to as GPT-3.5 and provides outputs that align with the human expectations. It even seeks human feedback at the end of its answers or solutions in order to make the required improvements based on the users’ experience. It creates a supervised and well studied policy through demonstrations on the input prompts. Furthermore, the comparison data is gathered in order to construct a reward model that is based on the model outputs that match the user’s expectations. GPT 3.5 thus becomes the default model of ChatGPT.
- GPT-4: GPT-4 was the updated version of GPT-3.5. It used parameters estimated up to 1.7 trillion which made the model more efficient and reliable that would process up to 25000 words at once, making it understand more complex tasks easily. This version attains multimodal capabilities which makes it interpret and process both images and texts. Other than interpreting and labeling images it can also understand the context of the image and predict other suggestions related to the images.
While GPT-4 appears a bit revolutionary, OpenAI CEO Altman thinks the world is yet to discover a really large part of the AI. The next step in this direction was taken by OpenAI when they announced the launch of GPT-5. The next and rather better version of GPT with a better speed and more natural language processing capabilities.
Just like the other versions which were larger in size than their prior versions, we are sure that GPT-5 too is going to be larger than GPT 4 and will observe a rather high accuracy in its tasks. Altman stated that the biggest difference between GPT-4 and GPT-5 would be the smartness of the system. GPT-5 is likely to be more intelligent and smarter than GPT-4.
Why GPT-5 is better than the previous versions
- Increased Reliability: Reliability is going to be a prominent and rather core feature of GPT’s evolution in the next 2 years. Reliability appears to be a rather important point for the GPT-4 users and it is partially necessary to make updates that would increase the input and output consistency and reliability of the system. In case there are a higher number of complaints against the accuracy and reliability in GPT-4 than there is a high chance that the upcoming version will have a more efficient improvement in the area of reliability and accuracy.
- Enhanced Reasoning Abilities: The core of GPT-5’s general intelligence is its capability of reasoning. There are noticeably a lot of users posting about their GPT-4 setbacks on social media and the reasoning’s setback may be significantly easy in comprehending as reasoning is simply difficult and the specific improvements will stride off in the form of AI model’s performance. An enhanced reasoning would allow GPT-5 to be better than the previous versions at learning context, making references and solving problems. GPT-5 consists of a larger dataset and knowledge base which makes it understand the users’ needs more clearly and fetch more information relevant to the issue.
- Highly Multimodal: At the core of past few GPT models is the multimodality of its system which is being upgraded day by day and is being better version by version. OpenAI launched GPT-4o earlier this year and it was made advanced with enhanced text, voice, and vision skills. It interacts with users naturally and easily analyzes inputs and describes visuals. The model will observe a great leap in terms of multimodality. GPT could not only interact naturally but can also perform tasks worthy of technical knowledge. GPT-5 is said to have text to video generation techniques added to its system and may also observe a large variety of different features that would lead to image, text and voice generation.
- Increase Parameters: Every generation of GPT has seen an increase in the size of its parameters and the upcoming version too will have an increase in its parameter size. Parameters comprise the weights of neural network layers such as the attention mechanisms and embedding matrices. The capability of GPT’s version to understand and learn from the input data is directly dependent on the size of its parameters. Although the exact parameter size is yet not disclosed, it is still estimated to be around 1.5 trillion.
- Bigger Context Windows: A context window portrays the token capacity of the model at once. A greater context window would help the version in acquiring more and more information from the input data and would help in gaining more accuracy in its outputs. The major flaw of GPT-4 is that it could not produce a very lengthy text and is composed of a shorter context window with only 128,000 tokens. The forthcoming version will have this issue resolved and would contain a larger context window with an increased token count that would help it in giving more lengthy answers with higher accuracy rate.
- Increased Customization: Currently, GPT-4 is considered as a one-size-fits-all model, but such would not be the case with versions succeeding it. OpenAI has already brought into market the customized GPTs which allows the user to employ GPT to a particular task as per their requirement. Although customization wouldn’t be the core concept of the upcoming model, it would still be the center of attraction keeping in mind the ongoing trends.
When will the GPT-5 be launched in the market?
Analysts and Technicians all over the world are guessing the launch of GPT-5 and people worldwide are eager for the new and better version. However, there is no date announced yet, it is still expected to be around august. It is also suggested that the launch of the new version might not happen until after the US election which may lead it to the end of the year that is December 2024. The training period too will range from 4-6 months which is twice the training period of GPT-4. The new version is also supposed to undergo various training and learning sessions in order to make sure the improvements are carried out effectively.
In conclusion, GPT will see a high level of advancement in its features and will come off as a better ulterior of the existing GPT versions with the launch of its new forthcoming model GPT-5. It is supposed to be a groundbreaking launch in the world of AI with its customizable features and better parameters with greater word count. GPT-5 is supposed to be a great leap and a broad step in the world of AI and will explore the world with a better quality accuracy rate and text generation.