Understanding the Power Behind ChatGPT — The GPT Models and Its Versions
We have seen ChatGPT evolving with its GPT models getting upgrades regularly. Here, let’s understand the underlying architecture and its future prospectus
ChatGPT needs no introduction. Since its inception, it has taken the world by storm. Today, the world of AI is witnessing Large Language Models (LLM) becoming more capable than ever. These LLMs powering today’s AI chatbots can now easily understand and process human language with very high accuracy, all thanks to the massive amounts of text data these complex algorithms have been trained on.
One of the most popular and talked about LLM in the world of AI is the GPT model or Generative Pre-Trained Transformers that power the incredible ChatGPT.
OpenAI in one of its reports mentioned GPT-3, the foundational LLM model, possessed around 175 billion parameters indicating how complex the model is. This is one of the major factors that enable it to process and generate human-like text, translate languages, and write various kinds of text content without ease, rapidly, and accurately. Today, we have GPT-3.5, GPT-4, GPT-4 Turbo, and GPT-5.
In this article, let us delve deeper into the working of various versions of GPT models and their upcoming versions.
Overview of the Generative Pre-trained Transformers
To better understand the differences and workings of different GPT models, it is recommended to understand the underlying principles of this LLM. All the GPT models including GPT-3.5, GPT-4, GPT-4 Turbo, and GPT-5 are powered by GPT architecture. It has completely revolutionized the field of natural language processing.
Well, what makes GPT models so capable is the sophisticated architecture it has been built upon. It is very important to understand this architecture if you are looking to make a career in AI. One of the key components of GPT models is the transformer. It is a neural network architecture that has been designed specifically for natural language processing tasks. Transformers have unmatched capability to understand the relationships between words within a sentence and it helps them understand the context and meaning of a language.
The self-attention mechanisms have an important role to play within the transformer architectures. Through this mechanism, the GPT model learns to focus on the specific parts of the input sequence that are most relevant to predict the next word. To understand it simply, the self-attention mechanism helps GPT to prioritize words while processing the entire sentence, just like how we humans do, as we focus on specific parts during a conversation to understand the meaning of the whole context. This is what makes today’s AI chatbots highly efficient.
Another important element of the GPT’s architecture is the decoder layer that takes the processed information from the transformer and generates the predicted next word in the sequence. By repeating the process continuously, GPT creates lengthy pieces of text content. This is a brief overview of how ChatGPT works.
Understanding Various GPT Models
1. GPT-3.5
It was released by OpenAI in 2020 and it forms the foundational version of ChatGPT.
Key features:
· Understands language in a better way
· It is built with over 175 billion parameters and is among the largest language models available today.
· They can generate texts similar to humans for various domains, from technical to creative.
Limitations:
· Though it is great at generating contextually relevant text, it lacks the logical reasoning
· There are chances that the output texts may contain biases present in training data, and they might also be inconsistent sometimes.
· The maximum input size is 1500 words which prevents it from handling long-form content.
GPT 3.5 has revolutionized conversational AI however, there is plenty of room for improvements. Today’s artificial intelligence certification programs and AI courses give special emphasis on the working of GPT 3.5.
2. GPT- 4
Released in 2023, it is the most advanced model with a high level of NLP capabilities.
Key Features:
· It is a multimodal generative AI which means it can process and generate various types of content including text, and images.
· It has the ability to process around 25000 tokens i.e., around 17,000 words. So, it is highly capable of handling long-form content.
· It also has better reasoning power than its predecessors and thus can be used for scientific research, data analysis, and even decision-making.
3. GPT-4 Turbo
It is an upgraded version of GPT-4 and has been designed to serve specific chat-based applications.
Key Features:
· Perfect for chat-based purposes as it can generate more natural and coherent responses for chat interactions
· It is faster and requires less computational cost as compared to other GPT models
GPT-5: The future of ChatGPT
Though it is still in the development phase, the future of ChatGPT with the GPT-5 model looks highly promising. OpenAI has already confirmed they are working on this highly anticipated model. Its complete information is not available as of now, but potential features include:
· Further expansion of context window where it can process even longer forms of content
· Handling more natural and coherent dialogues
· Better reasoning and problem-solving capabilities.
It is speculated that GPT-5 may have video processing capabilities too. So, let’s wait and see what the future unfolds.
Conclusion
ChatGPT has seen some significant evolutions since its launch. With more and more businesses integrating ChatGPT for many of their business operations, it is definitely poised to evolve further serving industries of all kinds. As we move towards the future, we can expect GPT-5 and beyond to be more powerful, more efficient, and capable of processing all kinds of text inputs faster and more accurately.
