As artificial intelligence (AI) takes on new dimensions, language models are among the hottest areas of interest.
Linguistic modeling (LM) is the use of different probabilistic as well as statistical techniques to evaluate the likelihood of a specific word sequence occurring in a phrase. When used intelligently, it can mimic human thought processes, data re-articulation, and response mechanisms with astonishing accuracy. That’s exactly what AI-based language models like ChatGPT and Bard aim to achieve.
Did you know that 30% of 500 professionals have already used OpenAI’s ChatGPT or another AI program in their work? Its primary applications include composing emails, creating ideas, writing and debugging code fragments, and summarizing study or conference notes. ChatGPT’s closest competitor, Google’s Bard, is not far behind.
What is ChatGPT and Bard?
OpenAI, which is supported by Microsoft, created ChatGPT, a transformer-led language model which was trained on an enormous quantity of text data. A transformer is a form of deep learning that uses the process of self-attention to differently evaluate the importance of each portion of the incoming data.
ChatGPT is built on the GPT-3 structure, which includes 175 billion variables, making it one of the most complex and comprehensive language models yet. It has been trained on a wide variety of text data, including books, journals, as well as web pages, and is capable of producing logical and context-appropriate responses.
In contrast, Google’s Bard is a neural network-based language framework that was similarly trained utilizing massive volumes of text data. Bard was trained using a smaller training set than ChatGPT, however it was meant to be more effective and compact. It is able to generate human-like replies and can adjust over time to user inputs.
Difference Between ChatGPT and Bard Difference
1. Bard is More Resource Efficient
ChatGPT and Google’s Bard have different technological standards, resulting in a considerable variance in the amount of resources they use. ChatGPT is a transformer-led model that generates answers using a mix of attention processes and positional encodings. It is a large model which needs substantial processing resources to execute. Google’s Bard is intended to be lighter and more functional than ChatGPT, making it more suitable for real-time applications.
2. ChatGPT is Trained on More Data, but a Slightly Older Model
ChatGPT is driven by the GPT-3 model for large-language chatbots. GPT-3 is built on the transformer deep learning method and was trained on 45 TB of natural language material. Contrarily, Bard is fueled by LAMDA.
LAMDA, which stands for Language Model for Dialogue Applications, is comparable to older models such as BERT and GPT-3. It is also based on the Google-open-sourced transformer design from 2017. A chatbot with these skills may easily engage in informal conversations with users. However, one key difference is that Bard keeps learning from new data and ongoing conversations.
3. Unlike Bard, ChatGPT is Already Available for Use
Microsoft’s Bing used ChatGPT for the very first time in browsing history to grab the lead. It included conversational-style responses prior to the debut of Google Bard. If it has to get ahead of Microsoft, Google must act soon.
As per reports, ChatGPT has received 100 million visitors so far. Although Google Bard remains in beta phase, ChatGPT is progressively rolling out and has already invited people to join its waitlist. As per reports, Bing’s traffic has surged since the release of the AI language model.
4. OpenAI and Google Have Distinct Value Systems
OpenAI and Google use different approaches to the creation and implementation of their individual AI models. OpenAI is a research-driven organization devoted to enhancing the state of artificial intelligence technologies and making it available to as many individuals as possible. Google, on the other hand, is a tech giant that focuses on generating value for its customers and shareholders through a wide range of services and products, such as cloud computing and, of course, its search engines.
5. Bard’s Data Retrieval Accuracy is in Question
At the time of its first demonstration, Bard committed a factual error that raised concerns about the trustworthiness of its artificial intelligence. Bard responded to the question, “What new findings from the James Webb Space Telescope could I tell my nine-year-old?” The 2021-launched telescope, according to Bard, captured the first images of an extrasolar planet.
Astronomers, however, mentioned that this was incorrect. According to NASA’s website, the first image of an exoplanet was captured in 2004. Grant Tremblay, an astrophysicist, tweeted that Bard was wrong, and Bruce Macintosh, the director of the University of California Observatories at UC Santa Cruz, similarly called out the error.
In comparison, ChatGPT is renowned for delivering accurate replies and links to the summary’s origin materials.
6. Bard is Trained to Appear more “Human” in Certain Scenarios
As previously indicated, one of ChatGPT’s biggest flaws is its inability to access real-time online data. Its language model was programmed on a massive dataset to create text depending on the input, although the dataset only contains information until 2021 at this time.
In contrast, Bard has a more up to date dataset as well as the training to be more intuitive. According to a demonstration offered by Google, it seems that Bard will generate a solution that incorporates diverse views for queries that may not have a definitive answer.
For instance, the response to the question “Which instrument is easier to learn, the piano or the guitar?” can be “According to some, the piano is simpler to learn since the finger and hand motions are more natural… Some say that learning guitar chords is easier.”
These are the six key differences between ChatGPT and Bard. However, one should note that the two language models have a few things in common.
Similarity Between ChatGPT vs. Bard
1. Both AI Language Models are Relevant for Chatbots
ChatGPT and Google’s Bard are both versatile programs. ChatGPT is mostly used for language generation jobs, like bots, content generation, or text filling. It’s also been used for more sophisticated tasks, like translating languages and question-answering. On the other hand, Google’s Bard is mostly used for bots or personal assistants. It is meant to be more engaging and responsive than ChatGPT, which makes it perfect for real-time conversations. It should be noted, however, that both AI models can be used for chat-based conversational experiences.
2. Both Tools Will be Free, at least at the Beginning
Free versions of ChatGPT as well as Google Bard are available. ChatGPT is now accessible for free as a research sample or preview on OpenAI’s website; however, a $20 membership plan called ChatGPT Plus grants users priority access and better speeds. ChatGPT Plus is now only accessible to individuals authorized by OpenAI.
Bard offers a free version, but you must be a “trusted tester” to access the AI chatbot. Google has announced the addition of AI-based capabilities to products like Maps and Lens; however, Bard is only accessible as a free model to testers.
Conclusion
Both ChatGPT and Bard are impressive new technologies, at a time when AI is increasingly embedded in our business workflows. It differs in six key ways while also being similar. Finally, one last commonality is shared by the two AI models: the cost. Google, for instance, could face a $6-billion hike in expenses by 2024 if ChatGPT-like AI were to handle half the queries it receives.
After all, there has to be some trade off as AI reaches new heights, towards incredible new feats through large language models such as ChatGPT and Bard, generative AI that can make art, and eventually, artificial general intelligence.
