Prompts are the key that unlock value from large language models (LLMs). Writing good prompts for LLMs falls somewhere between science and art — thus the term Prompt Engineering aka prompt design / in-context learning. You may have come across many cheat sheets on prompt writing on social media. Prompt…

The term Foundation Model (FM) was coined by Stanford researchers to introduce a new category of ML models. They defined FMs as models trained on broad data (generally using self-supervision at scale) that can be adapted to a wide range of downstream tasks. The Stanford team made a point to…

Executives struggle with deciding which AI work is feasible and which project should be prioritized over competing work. Here’s my list of 7 questions that executives should ask. The quality of these answer tell you a lot about the homework that the team has done. Do we have a clear…

An AI-based virtual assistant is a class of conversational AI system which helps with tasks, often in customer care domain. Virtual assistants have sophisticated language (text and voice/speech) capabilities, knowledge retrieval skill, process automation and integration support for enterprise systems such as customer data, voice gateways and for handoff to…

How history of bridges informs us on the significance of ethical AI. Today’s AI reminds me of the early days of building bridges. The very first bridges were arched, made of masonry, stone or wood as those were the most plentiful material at that time. The builders tried different designs…

A no-nonsense guide to creating a high-energy, positive culture for your remote teams. Culture is what happens when no one’s looking. Culture eats strategy for lunch. These are some of the common informal descriptions of culture. I think of culture as the soul of any team or organization. Intangible and…

As AI decision makers and developers, why do we need Design Thinking and how do we use design thinking the right way? What the heck is design thinking, anyway? and how is it supposed to help with AI success? “Design thinking has nothing to do with making something pretty and…

There’s a reason why most AI/ML projects are not successful. It’s a leadership problem. Leaders — you should stop treating AI as another IT initiative. AI is inherently different and it requires leaders to change their thinking, culture and approach. The last decade was about convincing the world that AI…

Identifying and managing AI risk is vital for all organizations — Working on AI/ML initiatives is the dream of many individuals and companies. Stories of amazing AI initiatives are all over the web and those who claim ownership of these are sought after for speaking, offered handsome positions and command respect from their peers. In reality, AI work is highly uncertain…