Are you a Product Manager who hasn’t yet experienced the game-changing power of NotebookLM for your market research? If so, you’re missing out on a significant advantage. Personalised Podcasts NotebookLM…
Custom AI/ML Solutions vs. RAG-Based Agents: Choosing the Right Approach for Your Business In the rapidly evolving world of artificial intelligence, there are many pathways your business can take to…
Talking with another AI enthusiast (Ludy Bronsema), we wondered how Microsoft’s Copilot works from an infrastructure perspective and how it helps customers implement AI in different use cases. I mentioned…
Recently, we have been, rightly so, bombarded 📢📢📢with news about LLMs and how they continue to improve their capabilities to predict the next word in a text or a pixel…
Retrieval-Augmented-Generation (RAG) models should be in all organisations’ AI toolboxes. With RAG, you make your organisation’s data accessible via a Large Language Model (LLM), like ChatGPT, enabling users to converse…
If there is anything organisations should look at while implementing AI, it is RAG. RAG stands for Retrieval Augmented Generation. In human language: Have AI generate answers to questions based…
RAG models enable organisations to turn a generic LLM into a specialist AI assistant, unlocking the value of Enterprise data to employees and customers. With a RAG-enabled AI system, organisations…
A while back, Google introduced the Mixture-of-Experts technique to increase a model’s quality. Now, Google has introduced a new technique: Mixture-of-Depths. This latest technique combines the quality improvements of MoE…
Read this article to find out how they can help to make AI Enterprise proof. With the media’s fixation on Large Language Models (LLMs), and applications like ChatGPT, you would…
Before organisations can adopt AI, it needs to be enterprise-ready. But what is Enterprise-Ready? Simply put, Enterprise-Ready AI Solutions are the ones that management teams feel comfortable implementing for internal…
Barry Brandenburg