Real-Time Video Processing: deploying applications into the cloud

How does Amazon Go charge you without the need for a physical checkout? Is it possible to detect failures in manufactured products just by analyzing a camera’s recording? Can we develop an application that supervises cultivated fields to detect pests and optimizes irrigation?  The answer to all these questions lies in the field of machine … Continued

Building a Reliable Data Foundation: Data Quality for LLMs

Achieving substantial value with large language models (LLMs) can be challenging without a scalable data foundation. Data points are collected from multiple sources and defined in multiple different ways. This could cause them to be in opposite directions and lack consistency. Lack of proper entity documentation and a strong data quality strategy boils down to … Continued

Guiding LLM Behavior: The Art of Prompt Engineering

Large Language Models (LLMs) have revolutionized the field of artificial intelligence and natural language processing. These powerful models possess an incredible ability to generate human-like text and perform a wide range of language-related tasks. However, to truly unleash their power and achieve specific goals, careful and strategic prompt engineering is essential. By crafting well-designed instructions, … Continued

Making the Right Changes: Using A/B Testing to Optimize Your Product

Introduction Are you a business owner or an IT professional? If so, you’re likely always on the hunt for ways to enhance your product, service, or algorithm. Changes can be risky, especially in productive environments. It’s hard to predict whether they will benefit your business. This is where A/B testing becomes valuable. A/B testing is … Continued

Reinforcement learning: AI meets Pavlov’s dog

Introduction Ever heard of Pavlov’s dog? In 1897 Ivan Pavlov, a russian physiologist, published his findings on conditioned behavior, that demonstrated how dogs could be conditioned to associate an unconditioned stimulus (food) with a neutral stimulus (bell), leading to a conditioned response (salivation) triggered by the bell alone.  The idea behind this experiment is that … Continued

DINOv2: Exploring Self-Supervised Vision Transformers

Vision transformers are rapidly gaining popularity in the field of computer vision. These transformers, based on the same principles as the transformers used in natural language processing (NLP), have shown excellent results in various computer vision tasks, such as image classification, object detection, segmentation, and more. Image created with the outputs of the tool found … Continued

An onboarding guide to LLMs

Large Language Models (LLMs) are capturing most of the AI-community’s attention over the past months. Keeping up-to-date to this world might look chaotic and quite overwhelming. This post pretends to sum up the highlights of this topic, diving into the technical details of these models while not neglecting the global view. LLMs in a nutshell … Continued

ChatGPT & LLMs: How to put them at work for your business

Understanding how to use ChatGPT and LLMs ChatGPT is causing a revolution in many industries. Many more are in the process of being disrupted and still haven’t realized that. At the same time, it is hard to know what to do about it. It is difficult to create a clear roadmap to use this technology … Continued

Next Page »