RAG – itsabout.ai

Is RAG Still Relevant in a Post-LLaMA 4 World?

Not long ago, I wrote about why Retrieval-Augmented Generation (RAG) is such a pivotal architecture in modern AI workflows, particularly when compared to fine-tuning and training from scratch. The core argument was simple: RAG enables models to stay up-to-date, grounded, and efficient without massive retraining costs. It was (and still is) a pragmatic solution to […]

Simon Todd in 07 Apr 2025 No Comments

Why RAG is Important vs Fine-Tuning and Training

Blockchain Finance Financial

Future General Healthcare Human Resources Informational Infrastructure Recruitment Security Society Technology

In the swiftly changing realm of artificial intelligence, companies are pursuing the most effective methods to optimise Large Language Models (LLMs) for their specific needs. Although conventional techniques like fine-tuning and comprehensive training are prevalent, Retrieval-Augmented Generation (RAG) is developing as a more efficient and pragmatic alternative. This essay will examine the significance of RAG, […]

Simon Todd in 01 Feb 2025 1 Comment

DeepSeek and the AI Hardware Market: A Disruptor or Just Another Competitor?

Blockchain Finance Financial

Future General Healthcare Human Resources Informational Infrastructure Recruitment Security Society Technology

The AI hardware market is rapidly evolving, driven by the increasing complexity of AI workloads. DeepSeek, a new large-scale AI model from China, has entered the scene, but its impact on the broader AI landscape remains an open question. Is it simply a competitor to OpenAI’s ChatGPT, or does it have wider implications for inferencing, […]

Simon Todd in 30 Jan 2025 No Comments