March 20, 2024, 1 p.m. | code_your_own_AI

code_your_own_AI www.youtube.com

LLM hallucinations and in particular RAG hallucinations are a significant roadblock for the application of LLM systems in science, from Bioinformatics to Medicine to Pharmacogenomics.

Brand building is hot, like NVIDIA's new NIM-RAGs: postulated as the solution for enterprise-wide RAG systems on Blackwell. According to NVIDIA, a lot of their customer have implemented hundreds of RAG systems, but how to optimize for production? For delivering REAL BUSINESS VALUE?

Let's focus on scientific facts:
40 new arxiv research pre-prints examine the …

application bioinformatics blackwell brand building customer enterprise hallucinations hot llm llm hallucinations medicine nim nvidia rag rags science solution systems

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 Data Engineering Manager

@ Microsoft | Redmond, Washington, United States

Machine Learning Engineer

@ Apple | San Diego, California, United States