Google Bard vs. ChatGPT: What’s the difference?
Bard and ChatGPT are two different language models that have unique characteristics and applications. While both are large language models designed to process natural language, they have significant differences in their training, capabilities, and intended use cases.
Bard is a language model developed by EleutherAI, an open-source artificial intelligence research collective. It is one of the largest language models publicly available, with 10 times the parameters of GPT-3. Bard has been trained in a wide range of texts and can generate coherent, high-quality language for various applications such as natural language processing, dialogue systems, and creative writing.
ChatGPT, on the other hand, is a language model developed by OpenAI, one of the leading AI research organizations. It has been trained on a diverse corpus of text data and is primarily designed for natural languages understanding and generation tasks, such as question answering, text completion, and chatbot applications.
While both models can process natural language, they have different strengths and applications. Bard is particularly well-suited for creative writing and generating novel text, while ChatGPT is optimized for dialogue-based applications and text-based interactions with humans.
In this blog, we will explore the differences between Bard and ChatGPT in more detail and discuss how these two language models are changing the landscape of natural language processing and AI applications.
Table of Contents
What is Google Bard?
- Language: LAMDA, an application for language model 4 dialogue, powers Google Bard. Earlier models like BERT and GPT-3 are comparable to LAMDA, or Language Model for Dialogue Applications. It also utilizes the transformer design, which Google made available for free in 2017. With these features, a chatbot can simply engage in light conversation with users.
- Model: Bard uses online resources for its information. Using datasets made out of Internet-based content, known as Infiniset, the model is trained. However, there isn’t as much information available about Infiniset.
- Knowledge: The transformer-based LaMDA language model is trained on dialogues with up to 137B parameters and is pre-trained on 1.56T words and web material.
- Upgrade: Google CEO Sundar Pichai disclosed that just a tiny number of “trusted testers” are being used to test Google Bard, which is still not available to the broader public.
- Search Engine: Google Bard is simple to find via Google’s search engine, unlike ChatGPT.
What is ChatGPT?
ChatGPT, also known as conversational generative A substantial language model developed by OpenAI is called Pre-trained Transformer. Because there are so many natural language queries and prompts, this artificial intelligence (AI) system may provide users with responses that exactly match those of a human.
- Language: The large language chatbot model GPT-3 is what powers Openai’s ChatGPT. The GPT-3 model was trained using a whopping 45TB of natural language text and is based on the Transformer deep learning technique.
- Model: Some reports claim that the offline model data does not contain any live data and is only available till 2021.
- Knowledge: Based on a model of human input, ChatGPT uses reinforcement learning. Reinforcement learning is a technique for learning to associate events or circumstances with suitable and precise responses, and the end result will eventually improve the binary reward signal.
- Upgrade: The recently introduced $20 monthly ChatGPT Plus Membership is now only offered in the US. Yet, additional counties will eventually have it implemented.
- Search Engine: Apparently, ChatGPT is accessible on the Bing and Edge search engines, but not in all nations.
A chatbot with artificial intelligence named Bard was created by Google. Users are supposed to receive exact and accurate answers to their questions. It is based on a large language model that was developed with a tonne of data from the web.
ChatGPT vs Google Bard: Key Differences
ChatGPT and Google Bard are two large-scale natural language processing (NLP) models that are designed to generate human-like responses to natural language queries. Although they are both used in NLP, they have several key differences.
Training Data: ChatGPT was trained on a massive corpus of natural language text data, while Google Bard was trained on a smaller dataset of books and web pages. ChatGPT was trained on a dataset of 45 terabytes of text data, while Google Bard was trained on a smaller dataset of approximately 3.3 billion words. The difference in training data can impact the models’ performance, as a larger dataset can help produce more accurate and diverse responses.
Model Architecture: ChatGPT is based on the Transformer architecture, which uses self-attention mechanisms to process inputs and generates outputs, while Google Bard is based on the BERT (Bidirectional Encoder Representations from Transformers) architecture, which uses a bidirectional transformer to learn contextual representations of text. The key difference between the two architectures is that Transformer models generate responses from left to right, while BERT models generate responses by looking at the whole input sequence.
Output Quality: While both models can generate high-quality responses to natural language queries, ChatGPT is known for its ability to generate more coherent and contextually relevant responses, especially when dealing with more complex queries. On the other hand, Google Bard is known for its ability to generate concise and informative responses. Both models can generate grammatically correct responses, but ChatGPT is better at generating responses that are more human-like and natural-sounding.
Accessibility: ChatGPT is a proprietary model developed by OpenAI and is only available through licensed partnerships or APIs. In contrast, Google Bard is an open-source model that can be freely accessed by developers and researchers. This means that Google Bard can be used by anyone, while ChatGPT is only available to those who can afford to pay for access.
Applications: Both ChatGPT and Google Bard can be used in a variety of natural language processing applications. ChatGPT is often used in chatbot and virtual assistant applications, while Google Bard is often used in text classification and information retrieval tasks. ChatGPT is also used in conversational AI applications, while Google Bard is used in language modeling, sentence classification, and text summarization.
ChatGPT and Google Bard are both highly advanced natural language processing models that can generate human-like responses to queries, but they differ in terms of their training data, model architecture, output quality, accessibility, and applications. Developers and Researchers should consider these differences when choosing which model to use for their specific NLP tasks.
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