You might recall that I wrote an article on Google’s AI-powered chatbot Bard, in which I ended up asking, “Is Google going to recover?”.
Seems like soon we will be able to find out, as it is believed that officials will make it available in March of 2023, which is supposed to be sometime this month.
Google’s parent Alphabet was punished for the mess they made with Bard, and Google’s executives are continuously trying to clean up the mess from last month’s poor-performing announcement, but it seems like it’s not enough. Microsoft’s Bing search engine has managed to get one hundred million daily active users milestone just weeks after they launched the Bing chat feature; this has most certainly hurt Google’s decision-making, rushing them onto an announcement they weren’t yet ready for.
Google and its Involvement in AI
Google has been at the leading edge of the AI revolution since 2016; the company’s AlphaGo program made headlines for defeating the world’s top-ranked player in the board game. Since then, the company has continued to push the boundaries of AI research, with a particular focus on machine learning and deep learning. But now, the company is involved in a bigger challenge, such as quantum computing.
What is Quantum Computing?
Quantum computing is a new technology that promises to solve some complex problems in science and engineering; it can design new materials and simulate the behavior of molecules and proteins.
Quantum computers use qubits, which can be in multiple states at once, instead of bits like classical computers, which can be either 0 or 1. This allows them to perform certain computations exponentially faster than classical computers, making them ideal for complex tasks.
Google made its first announcement and expressed its intention to build a quantum computer in 2014. In 2017, Google unveiled its first quantum chip, called Bristlecone, which contained 72 qubits and was the largest quantum chip built at the time. Since then, the company has continued to push the limits of what is possible with quantum computing, developing new hardware and software tools to make the technology more accessible to researchers and developers.
An interesting breakthrough came in 2019 when the company announced that its quantum computer had achieved “quantum supremacy“, the point at which it could perform a task that is beyond the capabilities of even the most powerful classical computer. For instance, the task was to perform a calculation that would take a classical computer centuries to solve, whereas this quantum computer could solve it in just a few minutes.
This achievement of quantum supremacy was a major milestone for the company and for the field of quantum computing. It demonstrated that it could have the potential to solve problems that are currently considered unsolvable and that it could eventually transform fields like drug discovery, material science, and much more. To that end, Google’s work in quantum computing is far from over; they have created a new research division called Quantum AI, which is dedicated to exploring the potential of quantum computing.
Bard has Potential
Despite its advanced tech, Bard got off to a rocky start when it was showcased on February 6, 2023. During its preview, it answered a question about the James Webb Space Telescope’s recent discoveries incorrectly.
This mistake caused heavy criticism of the tool, drawing comparisons with other chatbots like ChatGPT. Despite this early setback, Bard has the potential to be a valuable tool for businesses and individuals; its advanced NLP capabilities could enable businesses to offer better support to their customers without the need for large teams of support.
One potential advantage of Bard over ChatGPT and other chatbots is its ability to use real-time data for its responses. However, Bard is not going to be going against ChatGPT, but instead, it will be competing with Microsoft’s Bing, and Bing also has the ability to use real-time data to generate its responses.
Google’s Bard or Microsoft’s Bing
Let’s see the differences between both search engines powered by Artificial Intelligence and NLP:
- Bard is designed to augment Google’s search tools and provide automated support and human-like interactions for businesses. On the other hand, Bing is a traditional search engine that uses keywords and phrases to return search results.
- Both Bard and Bing use AI and NLP technology, but bard is more advanced in this area; since it uses LaMDA (Language Model for Dialogue Applications) tech, built on top of Google’s Transformer neural network architecture. Whereas Bing uses a combination of machine and deep learning algorithms to analyze search queries and deliver relevant results.
- Bing includes a plagiarism detector, and Bard currently doesn’t have this feature.
- Both were designed to provide accurate information, but there have been concerns about the accuracy of Bard’s responses, whereas Bing has shown to be highly accurate up until now.
Both are search engines powered by AI and NLP technology, but they differ in functionality. Google bard is currently only accessible to a limited group of beta testers; it is expected to roll out to a wider audience in the coming weeks.
Overall, the development of Bard and the integration of ChatGPT in Bing indicate the increasing importance of AI in our daily lives. Both demonstrate the power of NLP and ML to provide more efficient and personalized responses to user queries. As they improve their systems and become more available for user experience, they will undoubtedly have an imprint on the way we interact with tech and each other.
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