A crazy hype has been generated around ChatGPT
worldwide since its release to the public in November 2022. The popular chatbot from
In contrast, Google created Bard as their response
to the increasing popularity of ChatGPT. Both chatbots use generative AI, which
means that they can create content automatically to answer questions. However,
Bard is different from ChatGPT in that it uses more recent training data,
giving it an edge when it comes to providing up-to-date information.
What
is ChatGPT?
ChatGPT is a state-of-the-art language model
developed by Open AI, a research organization focused on advancing artificial
intelligence technologies. Language models like ChatGPT are designed to
understand and generate human-like responses to natural language queries and
conversations.
ChatGPT is based on the GPT-3.5 (GPT-4 has just been
released as we were working on this article. Stay tuned for GPT-4 article) architecture,
which is an advanced version of the popular GPT-3 language model. GPT-3.5 uses
a massive neural network trained on a vast amount of data to generate
high-quality, contextually relevant responses to a wide variety of natural
language inputs. As a language model, ChatGPT can be used for a wide range of
tasks, including answering questions, providing recommendations, generating
text, and more. It has been designed to provide a more natural and human-like
conversational experience for users and it is continuously improving as it is
trained on more data and refined through ongoing research and development.
How
does ChatGPT work?
ChatGPT is a natural language processing (NLP) model
based on the GPT-3.5 architecture, which uses a deep neural network to generate
text in response to prompts or questions. The model is pre-trained on a massive
amount of text data, such as books, articles, and websites, to learn patterns
and relationships between words and phrases.
When you ask a question or give a prompt to ChatGPT, the model uses its pre-trained knowledge to generate a response that is most relevant to the input. It does this by breaking down the input into smaller units called tokens, which are then processed by the neural network. The model uses attention mechanisms to focus on different parts of the input and generate a response that is coherent and grammatically correct.
ChatGPT is designed to be flexible and adaptable to
a wide range of language tasks, including text completion, summarization, and
translation. It is also capable of generating creative and imaginative
responses, making it useful for tasks such as storytelling and generating new
ideas.
Overall, ChatGPT works by using deep learning
techniques to generate text that is relevant and coherent based on the input it
receives. Its ability to learn from massive amounts of data and generate
human-like responses has made it a powerful tool for a variety of language
tasks.
What
is Google Bard?
Bard was unveiled on February 6 as Google’s
response
to the increasing popularity of ChatGPT. Bard
is an experimental Google chatbot that is powered by the Language Model for
Dialogue Applications (LaMDA) large language model.
It’s a generative AI that accepts prompts and
performs text-based tasks like providing answers and summaries and creating
various forms of content.
Bard seeks to combine
the breadth of the world’s knowledge with the power, intelligence and
creativity of our large language models. It draws on information from the web
to provide fresh, high-quality responses. year-old, or learn more about the
best strikers in football right now, and then get drills to build your skills.
Both chatbots use generative AI, which means that
they can create content automatically to answer questions.
How
does Google Bard work?
It’s a generative AI that accepts prompts and
performs text-based tasks like providing answers and summaries and creating
various forms of content.
'Bard seeks to combine the breadth of the world’s knowledge with the power, intelligence and creativity of our large language models. It draws on information from the web to provide fresh, high-quality responses. Bard can be an outlet for creativity, and a launchpad for curiosity, helping you to explain new discoveries from NASA’s James Webb Space Telescope to a 9-year-old, or learn more about the best strikers in football right now, and then get drills to build your skills.'
Generative
AI
Generative AI refers to a category of artificial
intelligence systems that are designed to create or generate new content such
as text, images, videos, or even music. Unlike other types of AI systems that
rely on pre-existing data to make predictions or decisions, generative AI
systems have the ability to generate entirely new content based on a given
input.
Generative AI models are typically based on deep
learning techniques such as neural networks, and they are trained on large
datasets of existing content. By learning patterns and features from this data,
generative AI models can then use this knowledge to create new content that is
similar to, but not identical to, the original data.
Some examples of generative AI applications include image and video generation, text and speech synthesis, and music composition. These systems have the potential to revolutionize many fields, from creative industries to healthcare and education, by enabling computers to generate new content that was previously only possible with human creativity.
Similarities
between ChatGPT and Bard
- Both models are designed to process natural language and generate human-like responses.
- They are both based on a neural network architecture called Transformers, which has been shown to be highly effective for natural language processing tasks.
- Both chatbots use generative AI, which means that they can create content automatically to answer questions.
Differences between ChatGPT and Bard
ChatGPT |
Google Bard |
ChatGPT uses its Generative Pre-training
Transformer 3 (GPT-3) model or Generative Pre-training Transformer 4 (GPT-4),
depending on the version, which is trained on data prior to late 2021. |
Google Bard uses Google's Language Model
for Dialogue Applications (LaMDA), and can offer responses based on
real-time, current research pulled from the internet. |
ChatGPT
was trained on a massive dataset of text, including Common Crawl, Wikipedia,
books, articles, documents, and content scraped from the open internet—but
its sources end in 2021, limiting latest world events and research
|
Bard
was trained on Infiniset, a data set including Common Crawl, Wikipedia,
documents, and conversations and dialogues from the web; Bard will supposedly
search the web in real-time to find the most recent answers to questions and
latest research
|
Accessible
through ChatGPT site. Only text responses are returned via queries.
|
Integrated
with Google Search. You only need to change a Google setting to get your
regular search results when using Google Bard AI, and vice versa.
|
Has
built-in plagiarism tool called GPT-2 Output Detector. |
No
built-in plagiarism detection tool. |
ChatGPT
is free to all users; ChatGPT Plus is billed at $20/month to include access
during peak times, faster response times, priority access to new features,
and use of GPT-4
|
Bard
is free to users who have access
|
Conclusion
Bard
vs. ChatGPT: Which is better?
Both ChatGPT and Bard are highly advanced AI language models. It is difficult to determine which model is more powerful, ChatGPT or Bard, as they are designed to perform different functions and excel in different areas. ChatGPT is better at generating and summarizing text, while Google Bard will be better at surfacing relevant information to questions. It's still early days for both tools, though, and only time will tell which outperforms the other.Ultimately, the choice between ChatGPT and Bard will depend on the specific requirements of the task at hand, and the strengths and weaknesses of each model for that task.
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