Artificial intelligence (AI) is expanding human potential in many fields at once. The technological models developed by experts in the field are giving rise to possibilities that were previously only theoretical.
The introduction of ChatGpT by open.ai brought a wave all around the world. After the huge success of ChatGPT, Google has uncovered their new AI-powered chatbot which is named ‘Bard’ as announced by Google’s CEO Sundar Pichai. Since ChatGPT already rocked with more than 1 million users within a week, companies like Google and Microsoft took this as an opportunity to introduce their own version of the AI chatbots.
On February 6th 2023, Google released a blog that introduced their AI chat service which is similar to ChatGPT known as ‘Bard’. Bard is powered by ‘LaMBDA’ which is Language Model for Dialogue-Application that google launched two years ago.
This service uses artificial intelligence to carry on conversations with its users, supplying them with up-to-date, reliable data. This springboard provides its users with the freedom to pursue their curiosities with the help of their own knowledge, skill, and imagination.
In order to make sure that the responsive power of Bard is unmatchable, safe, and relevant for everyone, it's still under testing by “trusted testers” as informed by Pichai. It will be available to users within a few weeks followed by the announcement on 6th February 2023 as Google is focusing on combining external and internal testing to “meet a high bar for quality, safety, and groundedness in real-world information” according to the blog released by CEO.
ChatGpt was referred to as ‘code Red’ before this Google ‘Bard’ came into the picture due to the demand for the application globally. As a result, Google decided to build a chatbot to provide consumers with a similar experience. To our interest, both LaMBDA and GPT-3 are based on Transformer which is a neural network, that solves sequential data with more ease which is another remarkable invention by Google and was made available back in 2017.
Now that this topic has been debated on a regular basis, it is clear that these two applications are vying to be the foot soldiers of technological innovation. To what extent are they different, and why, is the primary objective?
It is not a secret that ChatGpt is prominent from the moment it has been launched. Within the initial two months, it is so high in demand with more than millions of consumers. Most websites claim that it is one of the fastest-growing applications of all time.
Thus, it is already a challenge for tech giants like Google to break this record and build an application that can set a better example in terms of usability, creativity, promptness, and security. Since Google released Bard not too long ago, users have reasonable expectations that it is an improvement.
When compared to Bard, one key distinction is the informational source that ChatGPT uses to acquire responses. ChatGPT is looking for feedback from 2021-only databases, archives, and other sources of knowledge. While Bard is concerned solely with making the correct and most up-to-date information available, this popular app's limited research is a significant disadvantage.
It is not only Google that is trying to take over ChatGPT but companies like Microsoft, and Alibaba are also aiming to create AI tools that are similar to ChatGPT. Microsoft reportedly debuted an updated version of its Bing search engine that is optimized for different query types.
Although the concept behind Google Bard has been made public, the sources from which the content is collected to form a relatable response are still a mystery. As mentioned above Google Bard is based on the language model known as LaMBDA which is further based on a dataset called Inifiniset.
Infinite is a composition of the content available on the internet in the form of dialog which enhances the ability of this model which has been trained on a large dataset of 1.56 trillion words. 50% of Data LaMBDA uses from dialogues generated by public forums.
The components that form this Dataset are mentioned below:
So 75% of the data is from the Infiniset Dataset is words used on the Internet which is mostly not explained and the rest 25% is a combination of Wikipedia and Public forums. Some of the common examples of Public sites are Rededit, Facebook, Quora, Medium, etc. These are just examples, not the exact sources used for the training of LaMBDA.
In layman's terms, you can say that 75% of the Data is web content that can’t be known for certain. Another truth about Bard's Datasets is that they use different websites to train their AI systems, putting Publishers at risk because these AI systems pose a threat to their websites by causing them to disintegrate or vanish entirely. This is the reason why Google is not very transparent about the websites they used to train LaMBDA.
In their statement, the CEO also claimed to use AI ‘responsibly’. So the products and services that are coming into the picture won’t be released until and unless it meets the performance parameters set by their testers which is necessary to bring in that confidence in people.
Tools like Imagen an image generator, MusicLM which is a Music generator, and Bard, i.e. AI chat service are some of the examples that have been in discussion recently. However, Google is not yet confident enough to release some of these tools because of the controversies on cultural appropriation.
Even though ChatGPT has set a benchmark but still it has several pitfalls which invited several concerns like limited information, plagiarism excessive demand restricting the users, and also a few questions on misinformation.
These drawbacks turned out to be a learning experience for their competitors. Apart from the distress, it caused AI tools brought relief globally. The experimentation era has started and we can get rid of these little flaws. ‘AI can be taught the difference between accurate and inaccurate information’ stated Varun Mayya, CEO of Avalon Labs.
Overall, the AI revolution is just getting started, and Bard is merely another trial aiming to establish best practices for the responsible and effective application of AI. Due to some charges, which will hopefully be resolved soon, Google has continued development of this model and delayed its release.
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