March 5, 2024, 6 p.m. | Haziqa Sajid

Unite.AI www.unite.ai

Large Language Models (LLMs) are revolutionizing how we process and generate language, but they're imperfect. Just like humans might see shapes in clouds or faces on the moon, LLMs can also ‘hallucinate,' creating information that isn’t accurate. This phenomenon, known as LLM hallucinations, poses a growing concern as the use of LLMs expands. Mistakes can […]


The post Overcoming LLM Hallucinations Using Retrieval Augmented Generation (RAG) appeared first on Unite.AI.

artificial intelligence generate hallucinations humans information information-retrieval isn language language models large language large language models llm llm hallucinations llms moon process rag retrieval retrieval augmented generation the moon

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Lead GNSS Data Scientist

@ Lurra Systems | Melbourne

Senior Machine Learning Engineer (MLOps)

@ Promaton | Remote, Europe

Principal Applied Scientist

@ Microsoft | Redmond, Washington, United States

Data Analyst / Action Officer

@ OASYS, INC. | OASYS, INC., Pratt Avenue Northwest, Huntsville, AL, United States