Google unleashing its new product: Gemini

The Next Big Swing

Conversational AI models have gotten a nod from the public since the day ChatGPT came out. Tech giants like Google were covetous and taken aback. As a counter strategy, most of them were adamant to unleash something incredible that would turn the crowd’s attention towards them. But it seems like Google is worried the most, since its search business is impacted by OpenAI's ChatGPT. Few months ago, it released its AI powered chatbot known as Bard. To outperform and win the game against its competitor, it is working on a much larger AI project known as Gemini AI by integrating machine learning technology. In the midst of this stiff competition, users are excited to experience the new Generative AI model. So, let’s see what's forthcoming for them.

Delving into the details

It is reported by unofficial sources that the former employees of DeepMind and Google Brain are fully hooked up for a new project, Gemini. The tentative date of its release is October, 2023. The research lab team of Google has stated that their new large language model is currently under its development stage, but it will outdo the GPT 4 model through AlphaGo's capabilities that will make it adept at problem solving and strategic planning. The company has spent hundreds of millions on Gemini and it is said to replace its previous PaLM 2 AI model. 

What sets it apart?

There are several limitations and challenges that current models are facing which will be addressed by Gemini through Reinforcement Learning. This will allow systems to learn from its own interaction and perform functions according to specific situations. The Gemini model will also be able to generate contextual images and will also offer many other unique features. The aim of the company is to create a multifunctional product by combining AI image generation and text capabilities. In the future, it might also help you to analyze and interpret flow charts and assist in controlling software through your voice. Software engineers who want to use Gemini will have to pay for access via the Google Cloud server rental unit. In order to answer users’ questions, this model will identify patterns by analyzing text and images. Gemini will also be trained upon YouTube video transcripts while sticking to ethical boundaries, making sure that there are no encroachments of copyrighted data.

Conclusion

In short, the race for dominance is getting tough. Gemini's potential is huge, customers and investors are anticipating that it will surely blow out ChatGPT as soon as it will make entry into the market. However, its official launch will reveal whether it will revolutionize the industry through its capabilities or not.

 

The Newest Chatbot: Google Bard

In the sphere of technology, conversational Artificial Intelligence has notched up at a rate of knots. One such example is Chat GPT, also known as the heart of Microsoft. It has been in the limelight since it came back in November, 2022. Subsequently, it made waves for Google compelling it to pace up and release its own version of generative AI chatbot known as the Bard. Google Bard has been launched recently in February and in the coming months we will see stiff competition between the two. The two technologies might seem similar superficially, but in a subtle way there are differences in terms of their usage and performance. However, in this blog our focus will be more on Google Bard. 

With conversational AI, Bard has buffed the education sector and many businesses, allowing them to do research in specific areas. It helps them to generate real time information and directs them towards ideation through the latest web crawled data available at that moment. Google is all prepped to upgrade its search capacities. The outcome will be that numerous bytes of data with diverse perspectives will be processed and integrated. The most accurate information will be filtered out for users in the most comprehensible format. By gathering this data from multiple sources, Google's aim is to provide users with knowledge and information through Al applications. Bard makes use of LaMDA (Language Model for Dialogue Applications) in order to achieve its purpose.

What segregates Chat GPT from Google Bard are the sources of data on which both these chatbots are trained or gather relevant information from. Bard is one step ahead of Chat GPT from one angle i.e. it efficiently utilizes the prime information from the web and takes the maximum advantage of the latest, real time data. On the other hand, Chat GPT does not incorporate information that is up to the minute. It is attuned and trained on all the data which was available till the end of 2021. 

In the coming months it is expected that Bard chatbot will be released for the public and will be available as an Application Programming Interface (API), after fine tuning and eliminating certain biases. The chatbot will ensure that the conversations are based upon groundedness and the platform is safe and sound for every individual. Furthermore, Bard is trained on several models that boosted its performance. The major ones are as follows:

Generative Adversarial Networks (GANs): These models help in the generation of creative visual and interactive media content. It has two neural networks, one is the generator that creates new content and focuses on accuracy of results. The second one is a discriminator that stresses upon the quality and realism of results produced by the generator. 

Transformer Models: These models are based upon deep learning and are majorly designed to interpret the natural language text. Transformers such as MUM or BERT help to track relationships. These models depict correlation between words and the context in which they are used in a sentence.

Large Language models: These technologies give coherent, logical and realistic answers or responses to users in the form of text. It is trained on huge datasets that can generate responses ranging from stories, essays or articles to programming codes.

The much hyped Google Bard is up and coming. Currently, the tech giant is going through the phase of testing and is open just for the trusted testers. The target of the company is to surpass all the previous models in the market in terms of computational capabilities.