Categories: AI/ML News

How to use large language models and knowledge graphs to manage enterprise data

By combining ontology and large language model-driven techniques, engineers can build a knowledge graph that is easily queried and updatable.Read More

A Gentle Introduction to Hallucinations in Large Language Models

Last Updated on June 6, 2023 Large Language Models (LLMs) are known to have “hallucinations.” This is a behavior in that the model speaks false knowledge as if it is accurate. In this post, you will learn why hallucinations are a nature of an LLM. Specifically, you will learn: Why…

June 6, 2023

In "AI/ML Research"

Over-Searching in Search-Augmented Large Language Models

Search-augmented large language models (LLMs) excel at knowledge-intensive tasks by integrating external retrieval. However, they often over-search – unnecessarily invoking search tool even when it does not improve response quality, which leads to computational inefficiency and hallucinations by incorporating irrelevant context. In this work, we conduct a systematic evaluation of…

January 13, 2026

In "FAANG"

What Are Large Language Models Used For?

AI applications are summarizing articles, writing stories and engaging in long conversations — and large language models are doing the heavy lifting. A large language model, or LLM, is a deep learning algorithm that can recognize, summarize, translate, predict and generate text and other content based on knowledge gained from…

January 27, 2023

In "FAANG"

AI Generated Robotic Content