ChatGPT Vs GPT-3 is one of the main trending google searches. But what are they exactly, Well, developed by OpenAI, ChatGPT, and GPT-3 are two of the most superior and advanced AI-based language models that have taken the internet by storm. Whether ChatGPT or GPT-3, both AI-based tools use deep learning techniques to produce human-like responses.
Despite being so similar, they have major differences. However, before we discuss ChatGPT Vs GPT-3, let’s understand the concept of AI in detail.
An Overview Of AI Technology
With the onset of new technologies and trends in the digital world, the AI industry is evolving at a quick speed. To people’s knowledge, AI, short for Artificial Intelligence allows computers or robots to perform manual tasks faster. From time-saving to cost-effectiveness, and higher productivity, there are many benefits of using AI-based tools.
Be it education, food, or shopping, AI technology is used in a range of industries. One of the major applications of AI tools is to produce human-like text. Yes, you read that right. As already mentioned above, two of the most advanced AI-based language models are ChatGPT and GPT-3.
Recently launched in November 2022, ChatGPT is a popular AI-based chatbot that uses data from a variety of sources like blogs, websites, and articles to respond in a human conversational tone. Whether code, blog, story, or article, the ChatGPT develops human-like responses for different subjects.
Generative Pre-trained Transformer 3 (GPT-3) is an autoregressive language model that produces human-like content by using deep learning techniques.
ChatGPT Vs GPT-3: Differences Between Two AI-Based Tools
Some of the points of difference between ChatGPT Vs GPT-3 are discussed below.
One of the major differences between ChatGPT and GPT-3 is their capacity. With a huge number of parameters, GPT-3 is larger and more powerful than ChatGPT which has only limited parameters and fewer computational requirements.
When it comes to large models like GPT-3, it uses more computing power to train and process inputs to give human-like responses. Unlike ChatGPT, GPT-3 has a greater potential to access more information and learn more difficult relationships between tokens, thereby ensuring high performance.
On the other hand, smaller models like ChatGPT have a small capacity and are not efficient as compared to larger models. Choosing between small and large language models depends on the task requirements. It makes sense to use a smaller model like ChatGPT in scenarios that require faster processing times or fewer computation resources,
On the other hand, a larger model like GPT-3 can be used where there is a requirement for a high level of accuracy and performance.
ChatGPT works on the transformer architecture, while GPT-3 is based on a larger and more advanced version of the transformer architecture. To explain the concept, let’s take an example.
For instance, let’s imagine car manufacturing. In that case, the blueprint acts as the transformer architecture. ChatGPT is like a small car manufactured as per the blueprint with limited capabilities and features.
On the contrary, GPT-3 is like a feature-loaded luxury car manufactured as per the same blueprint but with more advanced capabilities like great interiors, high security, and a robust engine.
Both ChatGPT and GPT-3 are based on transformer architecture but the former has limited features while the latter has greater capabilities and language abilities.
ChatGPT is a conversational language model that uses various sources like books, blogs, and articles to generate human-like text, making it a perfect solution for tasks like chatbots and conversational AI tools.
Further, ChatGPT is trained on conversational content and is specifically fine-tuned to generate responses in a conversational tone. On the other side, GPT-3 is a large-scale language model that has been trained using various sources of information to give human-like responses. GPT-3 is more capable of generating human-like text for a wide range of subjects.
However, as compared to ChatGPT, GPT-3 may not deliver consistent responses in a conversational tone.
Also please note that both AI tools have certain limitations and may generate text deprived of emotional intelligence.
ChatGPT Vs GPT-3: Which To Choose?
Above all, developed by OpenAI, both ChatGPT and GPT-3 are AI-based language models that generate human-like responses. While ChatGPT is ideal to generate human-like responses in a conversational tone, GPT-3 on the other side is more general-purpose and can be used for a good range of language-connected jobs such as generating text, summarizing, and translation.
The decision to choose between ChatGPT Vs GPT-3 totally depends on particular tasks and NLP requirements.
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