The field of natural language processing has witnessed remarkable advancements over the years, with the development of cutting-edge language models such as GPT-3 and the recent release of GPT-4. These models have revolutionized the way we interact with language and have opened up new possibilities for applications in various domains, including chatbots, virtual assistants, and automated content creation.
What is GPT?
GPT is a natural language processing (NLP) model developed by OpenAI that utilizes the transformer model. Transformer is a type of Deep Learning model, best known for its ability to process sequential data, such as text, by attending to different parts of the input sequence and using this information to generate context-aware representations of the text.
What makes transformers special is that they can understand the meaning of the text, instead of just recognizing patterns in the words. They can do this by “attending” to different parts of the text and figuring out which parts are most important to understanding the meaning of the whole.
For example, imagine you’re reading a book and come across the sentence “The cat sat on the mat.” A transformer would be able to understand that this sentence is about a cat and a mat and that the cat is sitting on the mat. It would also be able to use this understanding to generate new sentences that are related to the original one.
GPT is pre-trained on a large dataset, which consists of:
Every day the world is advancing into the new level of industrialization and this has resulted in the production of a vast amount of data. And, at initial stages, people started considering it as a bane, but later they found out that it’s a boon. So, they started using this data in a productive way. Big data and machine learning are terminologies based on the concept of analyzing and using the same data. Let’s get into more details.
RACE360, an Emerging Technology Conference 2019 (Powered by The Times of India) is happening on Wed, Aug 28th at The Lalit Ashok, Bengaluru. It is presented by REVA University, Bengaluru (REVA Academy for Corporate Excellence (RACE)).
The emergence of Artificial Intelligence has played an essential role in revolutionizing the technical industry. According to many people, Artificial Intelligence is something that makes their work easy; well, it is just one of the qualities of Artificial Intelligence.
What is Artificial Intelligence?
According to Wikipedia, Artificial Intelligence “is intelligence demonstrated by machines, in contrast to the natural intelligence displayed by humans.”
Artificial intelligence can be categorized into several stages, depending upon the role they play. In this article, we will go through all of these stages, including their real-world application.
Henry Ford (Founder of Ford Motor Company) once said- “The only worse thing than training your employees and having them leave is not training them and having them stay”.
Most organizations face this dilemma and sometimes choose not to upskill their workforce only to impede its own growth and relinquish opportunities of gaining competitive advantage. While organizations actively promoting workforce learning & development (L&D) often face indifferent employee behaviours to such initiatives. There are other concerns as well, such as- customised learning platforms, hands on learning, training quality, accreditation, post training support and what not……..
You already know that artificial
intelligence is grabbing the world, transforming nearly every industry,
business, trade, and function. But what you might not know are the incredible
AI technologist and researchers powering the edge of this momentous revolution.
Breakthroughs in AI are incredible, isn’t
it? But how does it all occur? It’s when extremely talented and diverse
thinkers from unique backgrounds, disciplines, expertise, and perspectives come
forward. You might think of names like Andrew Ng (Baidu), Amit Singhal (Uber), Elon
Musk (SpaceX & Tesla), Ginni Rometty (IBM) and Ray Kurzweil (Google) – but
wait why all men?
2019 March, on International Women’s Day, CloudXLab aims to showcase
11 incredible women in AI.
In recent years, career opportunities in artificial
intelligence (AI) has grown exponentially to meet the rising demand of
digitally transformed industries. But while there are amply of jobs available
in AI, there’s a momentous shortage of top talent with the essential skills.
But why does this demand and supply gap exist? Many aspiring candidates wish to
join the AI bandwagon, but several myths hold them behind.
Job site Indeed
highlights, the demand for AI skills has doubled over the last 3 years,
and the total number of job postings has upsurged by 119 percent. But,
job-aspirants interest in a career in artificial intelligence seems to have
leveled off. This clearly indicates employers are struggling to get good
talent. This is surely good news for all those planning to transit their
careers into AI!
Well, building a career in artificial intelligence demands a self-controlled approach. You might be interested in a career switch because of the exciting opportunities floating in this booming industry or maybe for that long deep-rooted interest to pursue AI as a career. Regardless of what your inspiration is, the first step to moving ahead in the AI career path is to ditch the myths and misconceptions that for long has been blocking your path.