InfoWorld

How to build RAG at scale

Retrieval-augmented generation breaks at scale because organizations treat it like an LLM feature rather than a platform ...
InfoWorld

What is retrieval-augmented generation? More accurate and reliable LLMs

Retrieval-augmented generation, or RAG, integrates external data sources to reduce hallucinations and improve the response accuracy of large language models. Retrieval-augmented generation (RAG) is a ...
The Emory Wheel

Best Web Search APIs for LLM Training Data Aggregation

Performance. Top-level APIs allow LLMs to achieve higher response speed and accuracy. They can be used for training purposes, as they empower LLMs to provide better replies in real-world situations.
techtimes

How RAG and Vector Databases Improve LLMs

Retrieval-Augmented Generation (RAG) and Large Language Models (LLMs) are two distinct yet complementary AI technologies. Understanding the differences between them is crucial for leveraging their ...
VentureBeat

Lasso Security sets new standard in LLM safety with Context-Based Access Controls

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More To scale up large language models (LLMs) in support of long-term AI ...
KMWorld Magazine

Improve LLM Accuracy with RAG

AI adoption is accelerating, but in regulated industries, the roadblock isn't the model, it's the data. Most organizations still rely on messy, unstructured documents, PDFs, CAD drawings, handwritten ...
Psychology Today

Enhanced LLM Aces the US Medical Licensing Examination

An emerging trend at the intersect of artificial intelligence (AI) and healthcare is to enhance the capabilities of standard LLMs (large language models) using higher quality training datasets and ...