Based in London, Ajit's work spans research, entrepreneurship, and academia relating to artificial intelligence (AI) with Cyber-Physical systems. He is the course director of the course: Artificial Intelligence: Cloud and Edge Implementations at the University of Oxford. He is also a visiting fellow in Engineering Sciences at the University of Oxford. Besides this, he also conducts the University of Oxford courses: Digital Twins, Cybseecurity, and Agtech. Ajit works as a Data Scientist through his company, feynlabs - focusing on building innovative early-stage AI prototypes for complex AI applications. Besides the University of Oxford, Ajit has also conducted AI courses at the London School of Economics (LSE), Universidad Politécnica de Madrid (UPM), and as part of The Future Society at the Harvard Kennedy School of Government.
I have been thinking of how to learn prompt engineering. At one level, prompt engineering is a natural and intuitive task. But as the domain… Read More »Resources and workflow to learn prompt engineering
There has been much talk of ethics in AI recently. Some enterprises and vendors and consultants have talked of the need for a chief AI… Read More »Why We Don’t Need a Chief AI Ethics Officer and What We Need Instead
It’s easy to think of LLMs (large language models) as just ‘hallucinating’ or mere generators of text. A glorified LSTM so to speak. While there… Read More »Enterprise use cases for GPT-3: How to chat with your own data
As a part of my teaching for AI at the University of Oxford, I read a large number of books which are based on the… Read More »Data Science and Machine Learning Mathematical and Statistical Methods
In this second part, we look at the mechanisms for copyright protection for generative models. Like the first part of this blog, this blog is… Read More »Copyright Protection and Generative Models – Part Two
The question of Copyright protection is important for generative models In this two part blog, I explore this question based on a paper called “Provable… Read More »Copyright Protection and Generative Models – Part One
With the announcements last week from Microsoft and openAI, we are now all actively discussing the future of search Here are some key takeaways as… Read More »Search Engines vs Synthesis Engines: The Future of Search
The National Institute of Standards and Technology (NIST) has released it’s Artificial Intelligence Risk Management Framework (AI RMF 1.0), a guidance document for voluntary use… Read More »NIST Artificial Intelligence Risk Management Framework
Autonomous Intelligent Systems is a new and emerging interdisciplinary field that deals with situations where humans interact with AI systems that are autonomous The best… Read More »Autonomous Intelligent Systems
What to make of Deepmind’s Sparrow: Is it a sparrow or a hawk? ie a chatGPT killer Recently, Demis Hassabis from DeepMind has been urging… Read More »What to Make of Deepmind’s Sparrow: Is it a Sparrow or a Hawk?
