Author Archives: Anish Agarwal
In today’s data-driven world, the ability to efficiently query and manipulate structured data is paramount for organizations. GenSQL, a tool that harnesses the power of Large Language Models (LLMs), offers a revolutionary approach to interacting with structured data. This article explores the myriad opportunities that GenSQL presents, highlighting its capabilities with practical examples and referencing […]
The post Unlocking Opportunities with GenSQL: Leveraging Large Language Models for Structured Data appeared first on AIM.
Generative AI can analyse enormous volumes of data and patterns, but it cannot take the place of human originality, creativity, and common sense. Therefore, human oversight is essential for its creation and implementation.
The post Council Post: Beyond ChatGPT – Exploring opportunities in the Generative AI value chain appeared first on Analytics India Magazine.
Generative AI can analyse enormous volumes of data and patterns, but it cannot take the place of human originality, creativity, and common sense. Therefore, human oversight is essential for its creation and implementation.
The post Council Post: Beyond ChatGPT – Exploring opportunities in the Generative AI value chain appeared first on Analytics India Magazine.
Analysing data can greatly
improve the decision-making process and boost the efficiency with which processes are
executed. It can also lead to the development of new markets, industries, products, and services,
which will increase consumer demand and open up new sources of income.
The post Council Post: The Economics of AI appeared first on Analytics India Magazine.
SplitNN is a distributed and private deep learning technique to train deep neural networks over multiple data sources without the need to share raw labelled data directly.
The post Split learning: Distributed deep learning method without sensitive data sharing appeared first on Analytics India Magazine.
