TECHNOLOGY SIMPLIFIED

  MAKING OF CHATGPT History and Making of ChatGPT Background and Development 1. Evolution of AI and NLP: The development of ChatGPT is a part of the broader evolution of artificial intelligence ( AI ) and natural language processing ( NLP ) . Early AI research in the mid - 20th century focused on symbolic AI and rule-based systems . The shift towards machine learning, especially deep learning , started in the late 2000s, leveraging large datasets and significant computational power . 2. Introduction of Transformers: The transformer model, introduced by Vaswani et al. in 2017, revolutionized NLP. The paper titled "Attention is All You Need" proposed a new architecture that significantly improved the performance of various NLP tasks. Transformers use self-attention mechanisms to weigh the importance of different words in a sentence, allowing for better context understanding. 3. Generative Pre-trained Transformer (GPT): OpenAI developed the Generative Pre-trained Transformer (GP...

 DATA MODERNIZATION SERVICES What is a data modernization ? Data Modernization is a strategic approach and often describes the data transfer from legacy databases to modern databases . Data platform modernization is critical to turning large volumes of data, much of which may be useless when siloed , into actionable insights that drive results . As the demand for data modernization services has grown , the data modernization market size has swelled to unprecedented levels . More and more companies are realizing the value of modernizing data and , as such , are seeking solutions to help them understand and make good use of their data . You can have all the data in the world at your disposal , but if you don’t know how to use it , it won’t do your business any good . Understanding data modernization trends is a great way to learn more about data and what the modernization process looks like . One of the trends to watch for in 2022 and beyond is uniform implementation , whic...

  AUGMENTED WORKFORCE What is Augmented Workforce ? An augmented workforce  is a blend of human employees and technology working on tasks together . By utilizing AI  and cognitive technologies , companies are already learning how they can streamline processes and create more efficient workforces . Machine Learning  is a key element of this , where computer programs access data and learn for themselves . Journey of Augmented Workforce  : Various Data Engineers studied the idea of building a machine that had the intelligence of a human , basically an electronic brain . Of course , the breakthrough for this was the introduction of the first digital computer in the 1940s . Since then , the capabilities of digital computers have evolved massively and the digital revolution has shaped the world’s working processes . Traditional manual jobs are becoming obsolete or changing considerably because new technology capabilities can drive great efficienci...

NATURAL  LANGUAGE  PROCESSING INTRODUCTION : Natural language processing (NLP) is a branch of Artificial Intelligence that helps computers understand , interpret and manipulate human language . NLP draws from many disciplines , including computer science and computational linguistics, in its pursuit to fill the gap between human communication and computer understanding . EVOLUTION : While natural language processing isn’t a new science , the technology is rapidly advancing thanks to an increased interest in human - to - machine communications , plus an availability of Big Data , powerful computing and enhanced Algorithms .  As a human , you may speak and write in English , Spanish or Chinese . But a computer’s native language – known as machine code or machine language – is largely incomprehensible to most people . At your device’s lowest levels , communication occurs not with words but through millions of zeros and ones that produce logical actions .  Indeed ...