In this useful Tools & Resources article, the authors describe a new cryogenic light microscopy design and characterize its temperature and spatial stability. This compelling system avoids the ...

It only took a little prompting to hijack the biggest AI models ...

Modern AI agents must process information efficiently while maintaining continuity across conversations and tasks. Poor memory management leads to higher costs and inconsistent outputs. Optimizing ...

Vector embeddings are approximation engines that are excellent at finding semantically similar content, but systematically weak at distinguishing specific entities ...

Open-source tools for prompt testing and experimentation, with support for both LLMs (e.g. OpenAI, LLaMA) and vector databases (e.g. Chroma, Weaviate, LanceDB).

When you type a query into a search engine, something has to decide which documents are actually relevant — and how to rank them. BM25 (Best Matching 25), the algorithm powering search engines like ...

This study investigates the intercomparison of daily soil moisture (SM) retrieval from ASCAT (Advanced SCATterometer) observations using machine learning. The exploitation of spatial structure through ...

In this tutorial, we build an advanced agentic AI workflow using LlamaIndex and OpenAI models. We focus on designing a reliable retrieval-augmented generation (RAG) agent that can reason over evidence ...

This document has been published in the Federal Register. Use the PDF linked in the document sidebar for the official electronic format.

Employees need better knowledge management and information findability if they’re expected to do their best work. There’s a time crisis happening around information findability. Multiple studies have ...