Computer Weekly

SLM series - Tabnine: A working combination of SLMs, LLMs (and the case for RAG)

The latest trends in software development from the Computer Weekly Application Developer Network. This is a guest post written for the Computer Weekly Developer Network written by Ameya Deshmukh in ...
ZDNet

Make room for RAG: How Gen AI's balance of power is shifting

I wore the world's first HDR10 smart glasses TCL's new E Ink tablet beats the Remarkable and Kindle Anker's new charger is one of the most unique I've ever seen Best laptop cooling pads Best flip ...
VentureBeat

Out-analyzing analysts: OpenAI’s Deep Research pairs reasoning LLMs with agentic RAG to automate work — and replace jobs

Join the event trusted by enterprise leaders for nearly two decades. VB Transform brings together the people building real enterprise AI strategy. Learn more Enterprise companies need to take note of ...

Karpathy shares 'LLM Knowledge Base' architecture that bypasses RAG with an evolving markdown library maintained by AI

Karpathy proposes something simpler and more loosely, messily elegant than the typical enterprise solution of a vector ...
Forbes

Data Pipelines And Prompt Engineering Matter More For RAG Than LLMs

Artificial intelligence is evolving faster than most organizations can keep up with, and I’ve seen teams make the same mistake repeatedly: focusing on which large language model (LLM) to deploy, while ...
Geeky Gadgets

RAG vs CAG : Solving Knowledge Gaps for Smarter AI Workflows

Imagine asking a question to your favorite AI assistant, only to receive an outdated or incomplete answer. Frustrating, right? Large Language Models (LLMs) are undeniably powerful, but they have a ...
ZDNet

How GenAI got much better at medical questions - thanks to RAG

This is the year that many parties using generative artificial intelligence will try to give the programs something resembling knowledge. They will mostly do so using a rapidly expanding effort called ...
Search Engine Land

RAG: The most important AI tool marketers have never heard of

To date, much of the early conversation about putting AI into production at scale has centered on the need for good prompt engineering — the ability to ask the right questions of this powerful ...