This post is for readers interested to know the wizardry of AI behind the curtain. It is an attempt to explain the principle of learning via back propagation, all the way down to computation and in the least burdensome manner possible.

This post deals with hallucinations from an enterprise perspective. We blend insights from a number of key papers and Frontier’s own projects.

This post deals with the challenge of unfathomable datasets from an enterprise perspective. We focus on insights from the survey paper: Challenges of LLMs in the Enterprise.

The first in a series of posts about making LLMs work in the enterprise. Part 1: Prompt Engineering.

Delve into the world of Cognitive Selling: the use of AI and strategic innovation to reveal hidden revenue opportunities that await your sales organization.

The power of ChatGPT has excited people, especially in enterprises. Execs are turning to IT and asking: How do we get our own ChatGPT? But do companies really need their own? We explore this question and more.

Enterprise sales is a complex system. A more holistic AI approach is required to unlock sustainable and scalable sales growth.

In the first of a series of posts about Model Thinking, we begin with a gentle introduction to the magic of AI and how it actually works, minus boring math and a PhD.

In the rush to harness Generative AI, many projects are busy generating everything but value. We explain how to reliably deploy AI that works using an approach we call Holistic AI.

Enterprises will increasingly leverage large language models (LLMs) in order to gain a competitive edge. Fine-tuning is essential for success because it enables LLMs to unlock high-value use cases with existing data.

GenAI is still in its infancy, yet many leaders already want to know what they should do differently beyond exploring tactical use-cases.

Our Head of AI, Paul Golding offers a more strategic outlook through a familiar lens: innovation.

This article explores the capabilities of Transformers in a simple fashion, revealing the magic behind models like ChatGPT.

This is a featured piece with some exciting insights on a new level of mind-blowing boredom.

This article explores what makes AI unique and how adopting the right mental models about such uniqueness helps unlock innovation. We call this Model Thinking.

This post gives a dummies guide to natural-language “understanding”, especially the special use of the term “understanding”. Do Large Language Models (LLMs) like ChatGPT actually grok our prompts? The answer is yes, and no. We explain why grasping the difference is important.

The real moat is the one you build around operational excellence for AI.

Whilst ChatGPT has fired the imagination, hundreds of AI advances are made monthly. Think of them as keys waiting to unlock hidden innovation in product, marketing and operations. We call this unlocking the AI bounty. A scalable way to unlock the bounty is to enable as many workers as possible to apply AI directly to their work, as easily as using a spreadsheet.

In a downturn, the last thing you should do is cut AI projects. To win, you need to do the opposite.