The war on AI has been continuously evolving over the past six years, with Google taking the lead. Since committing to a re-orientation of the company around artificial intelligence (AI), it has become a focus for Google, which sees it as an important part of its mission to make information universally accessible and useful. 

To this end, Google is making significant investments in AI technologies, both through its own research units, such as Google AI and DeepMind, and by advancing the state of the art through projects such as Transformer. This research project and subsequent field-defining paper released in 2017 have opened up new doors for generative applications based on deep learning models. Advances in diffusion models and other areas have further contributed to pushing these boundaries even further, with the scale of AI computations doubling every six months – far faster than ever seen before.  

Google recent announcement on the new AI chat service, called Google Bard, is a testament to their commitment to AI.  

So, what is Bard? 

Bard is an experimental conversational AI service that has been developed with the help of cutting-edge language models such as LaMDA. It seeks to combine the world’s knowledge, intelligence, and creativity in order to produce high-quality responses. Information from the web helps Bard provide fresh answers on a wide range of topics, from NASA’s James Webb Space Telescope to football drills for aspiring strikers.  

By releasing a lightweight version of LaMDA, Bard can now be used by many more people and generate feedback which will help continue raising its quality and speed. External feedback, as well as internal testing, are both essential for making sure that Bard is meeting standards in terms of safety, quality, and accuracy. As Bard continues to evolve, it will be able to provide users with an immense amount of helpful information and creative insight.  

What is LaMDA? 

LaMDA stands for Language Modeling with Disentangled Attention. It is a transformer-based language model developed by Google which seeks to improve understanding of natural language and conversational AI. LaMDA uses multi-task learning in order to better understand the context of conversations and extract relevant information from them. The development of Bard and LaMDA are important for furthering the use of AI in everyday life, and allowing users to interact with machines in a natural way.  

Use cases and examples of Google Bard AI 

Google Bard AI offers numerous applications that can make life simpler and bridge information gaps. The most likely ones include

  • finding accurate solutions to queries with its powerful AI tools;  
  • gaining access to the renowned Google search engine; 
  • taking advantage of advanced task automation empowered by Google Artificial Intelligence;  
  • obtaining personal assistance in completing tasks with the help of Google AI;  
  • integrating task scheduling and reminders into daily life activities;  
  • gaining insights from audio, video, and image inputs by leveraging deep learning algorithms.  

Google VS Microsoft New AI Chatbots: Learning the differences 

Before we understand the difference, let’s have a quick recap on what Microsoft New chat AI is about. Large language models, also known as neural networks or deep learning algorithms, are the technologies that power both Bing’s ‘chat answers’ and Google’s Bard for Search. These algorithms have been trained on a wide range of data and can generate conversational responses to questions. Microsoft’s new version of Bing is backed by the ‘next-generation OpenAI model’, which is said to be more powerful than ChatGPT. Meanwhile, Google’s chatbot called Bard is powered by a lightweight version of LaMDA (Language Model for Dialogue Applications). 

When it comes to both Microsoft Bing and Google Search, they will work similarly in terms of providing contextual answers to open-ended search queries. The AI-powered Bing and Search results are expected to be available as an optional feature in separate boxes aside from traditional search results with NORA or No One Right Answer queries.  

How do they compare?

With the expanded Bing search box, users can enter up to 1,000 characters. This allows for full sentences and natural language queries that Bing is better equipped to understand. Additionally, a new ‘chat answers’ box will appear next to traditional website listings when using this feature. Alternatively, there’s an entire chatbot section in the menu above search results that can provide more detailed responses to questions related to any topic of interest. 

The AI capabilities don’t just stop at Bing. Microsoft’s Edge browser also has a sidebar that scours web pages and allows users to generate summaries or ask queries directly from the browser window. This is something Google Chrome will soon be doing with its Bard technology, although it’s not yet available for public use beyond ‘trusted testers’.  

Google does show demonstrations of their AI-powered search on their platform. A Facebook-style prompt reads “What’s on your mind?” and can understand natural language questions like those offered by Bing. Another example shows how Search can provide a chatbot-style answer to longer questions typed into its traditional search bar.  

Microsoft is well ahead of Google in terms of rollout as OpenAI models used in Bing are more powerful than Google’s ChatGPT. The public waitlist has already opened for the new Bing, whereas Google’s Bard is still being tested in development and promises a public rollout within the coming weeks.  

Frequently Asked Questions: 

How to use Google ai Bard? 

At this time, Bard is still in the testing phase and not yet available for public use. Once it’s released, users will be able to access the AI-powered search technology by typing their query into the Google Search bar, or via a “What’s on your mind?” prompt. Bard will be able to answer any question typed in natural language and provide detailed responses. 

What mistake did Google AI make? 

In its very first demo, Bard made a factual mistake that cost its parent company, Alphabet, a staggering $100 billion in market value. Described as a launchpad for curiosity and a search tool to help simplify complex topics, Google ran an ad on its Twitter feed featuring Bard. In it, the chatbot was prompted with the question “What new discoveries from the James Webb Space Telescope can I tell my 9-year-old about?” To this, Bard replied with a few bullet points, incorrectly claiming that it took the very first pictures of exoplanets outside Earth’s solar system. 

It is actually the European Southern Observatory’s very large telescope that took those first images in 2004; a fact supported by NASA. This mistake did not go unnoticed, and soon social media users pointed out that it could have been easily avoided had Google simply Googled the information.  

This blunder came shortly before Google’s senior executives proudly introduced Bard as the future of their company during a launch event in Paris. Consequently, Alphabet shares fell by 9% during trading hours but finished the day at a balance. All in all, it serves as an unfortunate reminder of the need to take extra precautions when dealing with technology and facts. 

Google Promise: Better AI-Powered Products for Everyone 

Google has been pioneering Artificial Intelligence (AI) technologies to improve online search since its inception, transforming the experience of millions of users around the world. Two years ago, this saw the emergence of MUM – one thousand times more powerful than previous AI models like BERT and able to provide multi-lingual understanding on a range of topics such as crisis support. Now Google is taking these advancements even further with its new AI technologies; LaMDAPaLM, Imagen, and MusicLM in order to take user engagement with information to entirely new levels. 

As part of this effort, Google is bringing its cutting-edge AI technology into everyday products so that all users can benefit from it. The company promises that AI can be used to deepen our understanding of information and turn it into useful knowledge quickly and efficiently – allowing for swift access to the heart of a user’s search query.  

In essence, users can expect new AI-powered features soon which will be able to digest complex information and provide a range of perspectives within easy-to-use formats. This means that people can quickly understand the key points of their query, learn more from web sources such as blogs or go deeper into related topics.  

Taking Search to a Whole New Level. 

Google’s AI technologies are revolutionizing the way we access information online and offline. From more comprehensive search results to integrated chat features, these advancements are allowing people to digest complex topics and gain useful knowledge with ease quickly. Google is also bringing its cutting-edge AI technology into everyday products so all users can benefit from it. With this promise of powerful AI-powered products for everyone, Google is paving the way for a more informed and engaged web. Ultimately, this will help people to connect with the information they need in a much faster and more efficient way.