AI has witnessed many hypes since the 1950s. The term was coined in MIT in 1956 by John McCarthy. There is steady progression for the last 15 years when databases became data warehouses. The descriptive data analysis and presentations were in static forms. These adopted machine learning techniques to move to predictive and prescriptive analytics. This represents the first wave of AI and algorithmic models. Algorithmic decision-making using big data created prediction models and applications such as customer service and supply chains. Further, the weather forecasting models and traffic navigation systems facilitated our lives.
Google’s pathbreaking 2017 paper titled Attention’s Is All You Need proposed a new Transformer architecture. It facilitated the computer’s understanding of human communication. The ‘attention mechanism’ focused on AI attention on the most relevant parts of a text. It paved the way for LLMs which can take any input token like a sentence and predict the next token. It gave birth to a revolution called generative AI. ChatGPT and other large compute-based LLMs ruled AI till DeepSeek, a Chinese model came up which did justice to the job more economically.
India has assigned the task of building its own muti-modal, multilingual, AI model to Sarvam, a Bangalore-based startup with the backing of IIT, Madras.
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