GOOGLE BARD AI – THE BEGINNING OF A NEW ERA

Google AI

AI technology is a hot topic of discussion among many circles. People are worried about job security, human safety, and all the dark sides of AI. The entry of ChatGPT by Open AI further fueled the debates, and more people are coming up with unique questions to ask. The baffling and sometimes intriguing answers of the tool are shared all over the internet for discussions.

Google Bard enters the market at the peak when people are talking about AI tools. Top software development companies in USA are preparing to build AI into solutions. Businesses are set to use conversational AI and generative AI. Even people are talking with their AI assistants from Bing by Microsoft. However, the leading search platform company Google is starting a new era.

It is important to explain everything about Google Bard and how it impacts different industries. No matter you are running an online or an offline business or even working on a job, Google Bard will change everything. The pace of change is ultrasonic, and keeping up is necessary. We will discuss Google’s AI tool in detail in the following sections.

GOOGLE BARD VS CHATGPT

Although the basic functionality of both platforms seems alike, there are differences between the two AI tools. Google Bard uses a different data source and language model than ChatGPT. It has access to live data over the internet. ChatGPT has limited data access and uses Open AI’s GPT language model. Open AI’s platform accesses information from the data before 2021.

Google Bard uses live internet data with constant updates and modifications and is built on Google’s PaLM2 language model. Google also developed the famous BERT language model that quickly gained a reputation for NLP experiments. However, for conversational AI capabilities, it used a model that supports large data mining and different operating systems. Bard is a clear winner considering conversational responses, better interface, and real-time data.

THE CHANGE BEGINS HERE

You might wonder how Google Bard will change things; consider this. Someone from the 80s and 90s can easily tell you how difficult it was to apply for a driver’s license. Now you have to download a form, fill and resubmit it over the web, selecting your suitable time slots for driving tests. AI will download, fill, and submit the form asking simple questions in a conversation. In a few months, Google is set to equip Bard with image recognition, speech recognition, and integration with other tools like Gmail and Google Lens.

It will impact many businesses, especially the software development and publishing industries. Top software development companies in USA will employ fewer coding and database resources. The publishing industry will strangle due to the information available on the AI-powered search engine. Image and video production and editing will most probably become obsolete. Many other jobs in various industries will perish as there will be more development in Artificial Intelligence and Machine Learning.

Simplifying procedures and processing workflows faster helps in attaining benefits from powerful AI tools. We can’t do much about the developments around us, but we can upgrade our understanding to cope with the change. Google Bard is reshaping the world around us as it is getting constant updates from the best AI developers. Response quality and reliability are improving by removing issues, citing sources, and establishing protocols to validate available information.

CONTROVERSIES REVOLVING AROUND BARD

Every technology in its recent days faces controversies, and Bard is no exception. Many critics have presented their concerns over incorrect data, plagiarism, and the mixing up of facts by AI. However, Google constantly reminds people to take it easy as the technology is new and is under a lot of work for improvement. The following controversies are the most famous ones that internet users are familiar with.

1.      JAMES WEBB SPACE TELESCOPE

Someone from Google asked Bard to share the new discoveries of the James Webb Space Telescope to share with their 9-year-old child. One of Bard’s responses was wrong, and it shared a made-up fact about the first image taken by the telescope. A wave of negative comments arose after the astrophysicists pointed out the mistake on Twitter. It is also notable that the market value of Alphabet also declined the following day by roughly 100 billion, making things worst.

2.      TOM’S GUIDE CONTROVERSY

Editor-in-Chief Avram Piltch of Tom’s Hardware asked Bard about the iPhone 14 Pro Max, and the AI gave another wrong answer. It presented the results from a different source, citing sources inaccurately and mixing up facts. The writer accuses the AI of not providing links to relevant sources for verification. According to the writer, Bard is not the only AI that produces such problems; this issue exists in every generative and conversational AI tool.

3.      PLAGIARISM

Presenting information from sources without citing them falls under plagiarism. AI tools have a long list of accusations of plagiarism and misrepresenting facts. Many internet users blame companies for developing technologies that steal intellectual property. Writers, website owners, and top software development companies in USA criticize AI tools for using information without following ethical practices.

CONTRIBUTING TO THE CAUSE RESPONSIBLY

The rising trends of conversational and generative AI demand community support, and members of society must get on board for many reasons. Firstly, contributing to technological development is better than halting it. Secondly, keeping up with newer technologies helps in job security and growth. Lastly, we must insist on building AI tools that use reliable sources with citing links.

Creating an AI requires much more effort than an individual can give. Interested people may join the open-source communities to contribute to AI creation. Businesses can hire the top software development companies in USA to reap the benefits of conversational AI. The following steps are vital for creating a powerful AI that solves problems with reliability.

1.      DEFINE THE PROBLEM

Identify problems that need resolution through AI and define them by objectives.

2.      CONDUCT THOROUGH RESEARCH

Research the subject and analyze existing solutions for value addition.

3.      SELECT THE TOOLS AND PLATFORMS

Choose the programming languages, data sources, and platforms that support your solution.

4.      DEVELOP MODELS AS PROTOTYPES

Use low code development for building prototypes and build progressively using deep learning.

5.      TRAIN AND TEST MODELS

Train the models to use reliable and valid sources for information and test their accuracy.

6.      DEPLOY THE AI

Execute the final model and integrate it with the relevant interface (web or app).