Recently, I have been doing a bunch of research on Retrieval Augmented Generation (RAG). RAG uses a combination of generative-based and retrieval-based artificial intelligence to produce results. Essentially, it combines what it finds with what it creates and gives you an answer to a query.
The main gist of the article is large AI companies including OpenAI, Google, and Meta are running out of training content for their AI engines. Before we talk about what they did next, let’s think about the implications of this.
Master effective writing best practices to enhance content quality across translations, structured content, and AI training.
As you prepare your content for generative AI, it’s important that you understand the two types of output content: persistent and transitory.
Structured content is the best way to create, store, manage, and publish content it prepares your content to be ingested by artificial intelligence.
Artificial intelligence (AI) used to be something we thought about as a future need or threat. Just a couple of years ago, the impact of AI on our daily lives was indirect. Companies employed AI systems that ran behind a user interface. Even though we have interacted with AI for
It’s important to prepare your content for generative AI so that it provides you with the best possible results. Here’s how.
This blog discusses important but often avoided topics in contractor conversations, including full-time on-site work, pricing, and the importance of trusting the agency to select the right contractor.
AI systems require big quantities of curated content to be really effective. Training an AI system with structured content produces more accurate results.
The care of your contractor is an important step to ensure the success of your project. We have a few tips on how to make the most of your time together.