• When to use fine-tuning and when to use Retrieval-Augmented Generation

  AI models suffer from hallucination. Let's explore two techniques commonly used to improve accuracy in an LLM: RAG and Fine…

  

• The 70% problem paradox

  The stream of articles in the AI space fails to reveal the Achilles heel of AI. AI solutions struggle greatly…

  

• Product Model: Paving the Way to the AI Age

  Human history has transitioned through several transformative eras, from the Industrial Revolution and into the Information Age. As we come…

  

• Standalone AI models for on-prem use

  There are more than one reason why you might want to run your AI standalone. A simple reason is that…

  

• AI Essentials Sept 2024 – Rewriting the rules for Software

  The roles of the traditional software developer will change. What is astonoshing is the speed of this shift.

  

• AI Essentials August 2024

  In this month's post we share how you as an AI developer can go about implementing RAG and fine-tuning. We…

  

• AI essentials : Generative AI “underneath the hood”

  If you like us are driven by understanding how something really works, AI "underneath the hood" - here are three…

  

• AI – Large Language models explained

  How do Large Language Models that form the basis of ChatGPT come about? How do they work? Andrej Karpanthy explains.