Retrieval-augmented generation enhances the performance of AI agents by expanding their recall. It can do this in three ...

A team of international scientists and risk assessment experts has developed a foundational blueprint for an innovative ...

Chinese AI models are challenging OpenAI and Anthropic on cost, but enterprises must weigh lower prices against security, ...

Someone fine-tuned Claude Fable 5's reasoning style into a local Qwen model, creating Qwable. Then someone else removed its ...

Google reportedly patched a flaw in the Vertex AI SDK for Python that could allow attackers to hijack model uploads and ...

Here we go again. Get used to it, folks. This is part of the new business model... has little to do with the model being somehow amazingly more powerful than whichever ones came immediately before it.

Abstract: In order to perform sentiment analysis on Weibo platform posts, a sentiment analysis model combining the LDA model and the machine learning model Snownlp is used to analyze posts data.

Tests of how well 19 large language models (LLMs) complete and perform complicated multi-step tasks has shown that they are both error-prone and, in many cases, unreliable. They said that the ...

LinkedIn's feed reaches more than 1.3 billion members — and the architecture behind it hadn't kept pace. The system had accumulated five separate retrieval pipelines, each with its own infrastructure ...

The Arkanix infostealer combines LLM-assisted development with a malware-as-a-service model, using dual language implementations to maximize reach and establish persistence. A newly uncovered ...

Python NLP makes text summarization faster and easier for large documents. Extractive methods are more accurate, while abstractive methods are more readable. Hybrid summarization reduces errors and ...