ChatGPT is leading the race in the hordes of AI Chatbots, but did you know Jasper AI takes the lead in making a great business-centric AI?
You heard it right! Jasper AI is more business-centric, while ChatGPT can be used for various applications.
Read further to decide which platform best suits your need or budget.
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ChatGPT Vs. Jasper AI – Similarities And Differences
ChatGPT and Jasper AI are natural language processing (NLP) and conversational AI platforms that share many similarities, offering unique features and capabilities.
However, the two have apparent differences that determine their goal and uses.
ChatGPT has a very different architecture, capabilities, and intended use cases than Jasper, which has a more business-centric application.
Therefore, ChatGPT has more user base because it is versatile and accessible via API, while Jasper AI is a user-friendly platform with specific uses.
What Is ChatGPT And How Does It Work?
ChatGPT is an NLP platform developed by OpenAI Lab based in San Franciso, which uses deep learning algorithms to generate human-like responses to natural language queries.
The ChatGPT model has been trained on a massive corpus of text data and can generate responses to various topics, including general knowledge questions and open-ended queries.
Here is an example of ChatGPT creating a social media ad copy for shoe polish.
Here is an example of ChatGPT creating an entire code from a user request.
How Does The Model Work?
A complex set of machine learning, natural language processing, and algorithms work together to provide apt responses.
Let us look at how ChatGPT works in pre-determined steps.
- Input: The user inputs a natural language query or sentence into the chatbot or conversational interface.
- Tokenization: The query is tokenized and broken down into individual words, for example, I [token 1], am [token 2], and Sam [token 3].
- Encoding: The tokens are encoded into a numerical format that the neural network can understand.
- Processing: The encoded input is passed through the GPT architecture, which generates a response based on the information and the conversation context.
- Output: The generated response is then displayed as a text-based reply to the user.
What Is Jasper AI And How Does It Work?
Jasper is a conversational AI platform based on NLP developed by the San Francisco-based company Jasper Labs.
Like any Chatbot, it uses machine learning and deep learning techniques to understand and respond to human language in a conversational context.
These responses are so reliable and accurate that businesses widely accept the Jasper AI platform for customer service, content creation, and query assistance.
Additionally, you can use it to create search-engine-optimized text, ad copies, translate text and start or complete drafts.
How Does The Jasper Model Work?
- Input Processing: It receives the input question from the user, which is processed to remove unnecessary information, such as stop words or punctuation.
- Intent Recognition: It identifies the intent behind the user’s question or what the user is trying to ask.
- Entity Extraction: It extracts relevant entities from the user’s question, such as names, dates, locations, etc.
- Contextual Understanding: It understands the context of the conversation to provide relevant and accurate responses.
- Response Generation: The response can be in text, voice, or appropriate format.
- Personalization: Jasper AI provides personalized responses based on the user’s history, preferences, and context.
Moreover, you can integrate it with various messaging and communication channels to provide a seamless customer experience across multiple platforms.
ChatGPT Vs. Jasper AI – Similarities
As previously mentioned, ChatGPT and Jasper are alike because they utilize similar learning models, techniques, and architecture.
Here are some significant similarities between the two AI chatbots.
1. Natural Language Processing
ChatGPT and Jasper AI use NLP techniques to process and understand natural language queries.
The NLP is a robust model designed to process, understand, and respond in human-like language by tokenizing and embedding to capture the meaning and relationships between words in a text.
Did you know Jasper uses OpenAI’s GPT-3 model to produce high-quality content?
2. Neural Networks And Training
Jasper AI and ChatGPT rely on neural network architectures, such as Recurrent Neural Networks (RNNs) and Convolutional Neural Networks (CNNs), to learn and generate responses to user queries.
RNNs process sequential data, such as time series or natural language text, which are well-suited for language modeling, speech recognition, and machine translation tasks.
CNNs use convolutional layers to extract features from the input image to make predictions, which is appropriate for image classification tasks, object detection, and facial recognition.
3. Pre-Training With Data
ChatGPT and Jasper are pre-trained on a large corpus of text data using unsupervised and supervised learning techniques.
During the unsupervised pre-training phase, GPT is trained on a large corpus of text data using an unsupervised learning approach.
After the pre-training phase, GPT is fine-tuned on a specific task using supervised learning, where it is given labeled training data for a particular task.
4. Contextual Understanding
Both ChatGPT and Jasper AI consider the context of the conversation to provide relevant and accurate responses.
It makes them reliable human substitutes for tasks like customer support and solving complex mathematics-related issues.
These similarities allow both platforms to provide advanced AI-powered conversational capabilities to users.
5. Personalization And Integration
Both ChatGPT and Jasper AI can provide personalized responses based on the user’s history, preferences, and context.
Moreover, you can integrate them with various messaging and communication channels, applications, and websites using customizable API.
ChatGPT Vs. Jasper AI – Major Differences
Despite sharing many similarities, ChatGPT and Jasper are pretty different platforms used for specific tasks and by particular users.
These differences can usually be seen in the application, accessibility, and pricing of the technology.
1. Neural Network Architecture
Although both platforms rely on transformer architecture, ChatGPT is solely based on the GPT, while Jasper combines GPT and custom neural network architecture.
GPT, or Generative Pre-trained Transformer, is a type of transformer-based language model trained on large amounts of text data using unsupervised learning.
On the other hand, Jasper AI utilizes custom neural network architecture specifically targeted for voice recognition capability.
2. Sizeable Model
ChatGPT is a larger model than Jasper AI, boasting a sizeable database with billions of parameters.
On the other hand, Jasper AI uses pre-built AI models and templates with fewer parameters.
However, Jasper has quickly expanded its model’s capacity by adopting OpenAI’s GPT-3.5, Neo X, T5, and Bloom language processing model.
3. Ease Of Use
Jasper AI is relatively easier to implement and use than ChatGPT.
It provides a drag-and-drop interface for creating and customizing conversational flows, which is more accessible to unskilled users, usually business managers.
On the other hand, ChatGPT requires more technical expertise to implement, requiring the assistance of developers.
Integrating ChatGPT via API also requires developers’ assistance.
4. Cost Differences
ChatGPT is a free application for generic users, where you can open the platform in your browser and use it without any strict limitations.
The paid version (ChatGPT Plus) costs $20/mo and provides premium features. Similarly, integrating ChatGPT via API will cost based on tokens generated.
On the other hand, Jasper only provides a free trial, after which users must purchase the package.
The starter pack starts at $40/mo, which provides a 35,000 words limit, and the Boss mode costs $82/mo, which provides up to 100,000 words limit.
The Bottom Line
ChatGPT and Jasper AI are two different types of neural network architectures designed for various applications.
While ChatGPT can cover most capabilities offered by Jasper, the latter excels in specific fields with business applications.
Nonetheless, they both utilize machine learning techniques, contextual understanding, and personalization to provide relevant and accurate responses to users.
Frequently Asked Questions
What Makes Jasper Better Than ChatGPT?
Jasper AI has an expansive knowledge of niche and advanced topics applicable to business-centric users.
It also includes today’s search results in the responses and generates content in 29 languages, making Jasper better than ChatGPT.
Is Jasper AI Expensive?
Yes, Jasper is expensive compared to ChatGPT’s free and $20/mo ChatGPT Plus access.
Jasper is more appropriate for business users who willingly pay for its services.
Will Jasper Ever Be Free?
Not really, because the creators of Jasper AI are strict about maintaining it as a revenue-generating business model.
However, the free trial allows you to access the first 10,000 words on Jasper AI at no cost.