Nitor Infotech's March Tech Bulletin
The Big Picture?
Let’s face it, we are heading into a period of dramatic change in artificial intelligence (AI). Until now, machines showed behavior that could be differentiated from that of humans. However, we can see how new generative AI models can carry on sophisticated conversations with users as well as come up with seemingly original, realistic text, audio, and image content!?
Generative AI has become a buzzword this year, capturing our imagination and inspiring a rush among industry giants to launch products with the technology they believe will transform the nature of work. Following tremendous research, it seems that AI tools possess infinite capabilities that affect people of all walks of life, students and tech company leaders alike.?
In this edition, let’s take a close look at this fascinating genie that is making its presence felt in the AI realm!?
The Future with Generative AI?
We’ll admit it, we were slightly startled to find a piece of news about generative AI predicting its own future. Well, that’s the way things are in this fast-changing world!?
Generative AI has infinite potential applications. It aids businesses as they create realistic simulations, build fresh product designs, and reorganize operations. In the corporate world, generative AI has the potential to enhance an array of functions. These include brand-new product ideation, project management, customer service, and marketing. In fact, the sky is the limit when it comes to possibilities! Rather than replacing the human workforce, it promises to add to the productivity of employees and help them to focus on more creative, thoughtful tasks.?
Now let’s imagine how generative AI could transform your business. It might be ChatGPT, Google’s Bard, Microsoft Copilot, or any of the other emerging apps using Natural Language Processing (NLP) at their core. Here are some key use cases:?
The numerous advantages of this technological innovation are certainly something to muse on, wouldn’t you agree??
Stay tuned for my upcoming blog that will shed more light on this.?
We know that language models can produce logical text, and this feels like a decisive moment in the human-technology relationship. We are equally impressed by the ability of the models to capture the meaning and context of text, through conversational AI and sentiment analysis. The purpose, of course, is to get software to deal with text more wisely!?
One thing is for certain - we need to look at models as parts of intelligent systems, not really minds. Generative AI alone is only one part of a large whole. Technically speaking, text and image generation models aren’t well-defined enough to deserve their own sub-area of AI. We can use these models for various other use cases with just a little or no adjustment. The problem with tracing a line around ‘generation’ is that some might miss more mature AI powers that are deftly powering more and more systems.?
We also need to consider an essential question: How is generative AI possible? The answer is, only because larger, better models trained on huge datasets help AI models to form enhanced numeric representations of text and images. Builders need to consider that these representations allow scores of possibilities besides generation. One such significant possibility is neural search, that empowers searching by meaning.?
Next up is the ‘generative AI world’ in numbers!?
The World in Numbers?
Here are some statistics you may wish to mull over:?
Well, in a nutshell, generative AI can automate repetitive tasks, personalize customer experiences, and inspire innovation! Its disruptive activity should ideally evolve into a neat, strategic plan. It can be a game-changer that we should be ready for.?
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Also, you might like to read our interesting collection of blogs centered on artificial intelligence . We would be happy to receive your feedback!?