Time to teach your LLMs company culture
Using LLMs in Enterprise Search, E-discovery, Company Knowledge Bases and Corporate Wikis
Last update: 29 September 2024
Topics
Artificial intelligence (AI) automation
Business Analytics (BA)
Business Intelligence (BI)
Business Process Management (BPM)
Digital transformation
Large Language Models (LLMs)
Machine Learning (ML)
"When there is no place for model hallucinations".
What are confidential LLMs?
Running Large Language Models (LLMs) on enterprise infrastructure allows companies to process sensitive and proprietary information within the confines of their own computing environment and add security, confidentiality and explainability to AI/ML outputs and decisioning.
Our architecture provides access to all major LLMs currently on the market.
Use Cases
Further Reading
Jay Alammar and Maarten Grootendorst (2024) Hands-On Large Language Models (here)
Christopher Brousseau and Matthew Sharp (2024) LLMs in Production. From language models to successful products (here)
European Commission (2024) AI Act - Shaping Europe’s digital future (here)
Andreas C. Müller & Sarah Guido (2016) Introduction to Machine Learning with Python (here)
Catherine Nelson (2024) Software Engineering for Data Scientists (here)
NZZ (2024) Google-Forscher zu KI-Hype in der Wirtschaft: «Die Rechnung geht einfach nicht auf» (here)
Suhas Pai (2024) Designing Large Language Model Applications (here)
Sebastian Raschka
(2024) Build a Large Language Model (From Scratch)
(here)