Unveiling the Power of YOLO: Transforming Object Detection with the YOLO Series Models
In this post, we will delve into the YOLO (You Only Look Once) models [1], which have revolutionised the field of object detection with their speed and accuracy. We will start by discussing the traditional methods used for object detection, highlighting their limitations and the challenges they pose. Following this, we will introduce the YOLO […]
The Use of Metrics in Generative AI: Evaluating Performance with LLMs
Generative AI, encompassing models that can produce new content such as text, images, and music, has revolutionised various fields by enabling automated creativity and content generation. Models like OpenAI’s GPT-4, Google’s BERT, and others have demonstrated impressive capabilities in generating human-like text and other media forms. However, to comprehensively understand the business value of a […]
Building a local Retrieval-Augmented Generation system with Gemma LLM and AlloyDB
This article explores the development of a local Retrieval-Augmented Generation (RAG) system using Google’s Gemma Large Language Model (LLM) and AlloyDB, a managed PostgreSQL-compatible database service. This system aims to address the growing demand for efficient and contextually-aware Question Answering (Q&A) applications. Retrieval-Augmented Generation (RAG) Traditional information retrieval techniques often rely on keyword matching, which […]