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 ...
Nature

A Question Answering Dataset for Temporal-Sensitive Retrieval-Augmented Generation

We introduce ChronoQA, a benchmark dataset for Chinese question answering focused on evaluating temporal reasoning in Retrieval-Augmented Generation (RAG) systems. Built from over 300,000 news ...
Nature

A scalable framework for evaluating multiple language models through cross-domain generation and hallucination detection

Large language models (LLMs) have significantly advanced in recent years, greatly enhancing the capabilities of retrieval-augmented generation (RAG) systems. However, challenges such as semantic ...
Things To Do in Dubai on MSN

AI stress test reveals retrieval challenges across leading AI platforms

Millions of people rely on AI assistants every day to retrieve facts, diagnose problems, and summarize the news. But what ...
InfoWorld

AWS aims to take the pain out of RAG with Bedrock Managed Knowledge Base

The new service automates embeddings, indexing, and connectors to help developers focus on building AI apps instead of ...
ascopubs.org

Retrieval-augmented large language models for clinical trial screening.

Exploring AI-generated content and professional guidelines in cancer symptom management: A comparative analysis between ChatGPT and NCCN guidelines. Performance of various RAG-LLMs for clinical trial ...
Tech Times

Google Ad Manager Launches Ask Ad Manager, Gemini-Powered Publisher AI in Beta

Google Ad Manager AI agent Ask Ad Manager launches in beta this month, using Gemini and retrieval-augmented generation over ...
Unite.AI

Seltz Raises $12.5 Million Seed Round to Build a New Search Infrastructure Layer for AI Agents

As AI agents become increasingly capable of performing research, executing workflows, and making decisions autonomously, a ...
ascopubs.org

Implementing a retrieval-augmented generation-based large language model to guide oncologists in searching for FDA-approved therapies for patient treatment planning.

Development and validation of an AI model for predicting germline BRCA1/2 mutations from HR+/HER2- breast cancer histology images.
VentureBeat

Table-augmented generation shows promise for complex dataset querying, outperforms text-to-SQL

AI has transformed the way companies work and interact with data. A few years ago, teams had to write SQL queries and code to extract useful information from large swathes of data. Today, all they ...