Oxide's Responsible Approach to LLM Usage: Human Judgment in the Loop
As is our wont, it’s helpful to look at LLM use through the lens of our values, several of which come to mind, listed here in priority order
Read the full articleYou might also wanna read
Google found liable for flawed AI Overview results, raising accountability questions
Hush. children, what’s that sound? Has the flood gates’ key been found?
theregister.com·1mo agoGet Ahead of the Game: LLM Compliance and Mocking
As Large Language Models (LLMs) become increasingly integrated into enterprise applications, organizations face new challenges around compli
Tool-Using LLMs: When Automation Breaks Its Own Rules
Tool-using LLM agents often violate their own policies, raising questions about AI governance. Deterministic gates offer a partial solution
How to Build a Reliable Eval Suite for LLM-Powered Product Features
Adding evaluations to large language model features is essential for shipping reliable products, not just demos, since LLMs are non-determin
LLMOps for Production AI: Essential Monitoring and Governance Best Practices
The gap between a language model that impresses in a demo and one that creates durable business value in production is not a model capabilit
Revolutionizing LLM Evaluations: A New Path to Model Mastery
A fresh evaluation framework reveals the strengths and flaws of large language models. By diving deeper into multiple aspects, we get a clea
Comments
Sign in to join the conversation.
No comments yet. Be the first.