When starting their AI initiatives, many companies are trapped in silos and treat AI as a purely technical enterprise, sidelining domain experts or involving them too late. They end up with generic AI applications that miss industry nuances, produce poor recommendations, and quickly become unpopular with users. By contrast, AI systems that deeply understand industry-specific … [Read more...] about Injecting Domain Expertise Into Your AI System
Carving Out Your Competitive Advantage With AI
When I talk to corporate customers, there is often this idea that AI, while powerful, won’t give any company a lasting competitive edge. After all, over the past two years, large-scale LLMs have become a commodity for everyone. I’ve been thinking a lot about how companies can shape a competitive advantage using AI, and a recent article in the Harvard Business Review (AI Won’t … [Read more...] about Carving Out Your Competitive Advantage With AI
Redefining Conversational AI with Large Language Models
Source: rawpixel.com Conversational AI is an application of LLMs that has triggered a lot of buzz and attention due to its scalability across many industries and use cases. While conversational systems have existed for decades, LLMs have brought the quality push that was needed for their large-scale adoption. In this article, we will use the mental model shown in Figure 1 to … [Read more...] about Redefining Conversational AI with Large Language Models
Building AI Products With A Holistic Mental Model
Note: This article is the first in a series called “Dissecting AI applications”, which introduces a mental model for AI systems. The model serves as a tool for the discussion, planning, and definition of AI products by cross-disciplinary AI and product teams, as well as for alignment with the business department. It aims to bring together the perspectives of product managers, … [Read more...] about Building AI Products With A Holistic Mental Model
Creating An Information Edge With Conversational Access To Data
Figure 1: Representation of the Text2SQL flow As our world is getting more global and dynamic, businesses are more and more dependent on data for making informed, objective and timely decisions. However, as of now, unleashing the full potential of organisational data is often a privilege of a handful of data scientists and analysts. Most employees don’t master the … [Read more...] about Creating An Information Edge With Conversational Access To Data
Four LLM Trends Since ChatGPT And Their Implications For AI Builders
In October 2022, I published an article on LLM selection for specific NLP use cases , such as conversation, translation and summarisation. Since then, AI has made a huge step forward, and in this article, we will review some of the trends of the past months as well as their implications for AI builders. Specifically, we will cover the topics of task selection for … [Read more...] about Four LLM Trends Since ChatGPT And Their Implications For AI Builders
Overcoming The Limitations Of Large Language Models
How popular LLMs score along human cognitive skills (source: semantic embedding analysis of ca. 400k AI-related online texts since 2021) Disclaimer: This article was written without the support of ChatGPT. In the last couple of years, Large Language Models (LLMs) such as ChatGPT, T5 and LaMDA have developed amazing skills to produce human language. We are quick to … [Read more...] about Overcoming The Limitations Of Large Language Models
Choosing The Right Language Model For Your NLP Use Case
Large Language Models (LLMs) are Deep Learning models trained to produce text. With this impressive ability, LLMs have become the backbone of modern Natural Language Processing (NLP). Traditionally, they are pre-trained by academic institutions and big tech companies such as OpenAI, Microsoft and NVIDIA. Most of them are then made available for public use. This plug-and-play … [Read more...] about Choosing The Right Language Model For Your NLP Use Case