Categories: AI/ML News

Teaching the model: Designing LLM feedback loops that get smarter over time

How to close the loop between user behavior and LLM performance, and why human-in-the-loop systems are still essential in the age of gen AI.Read More

Evaluate gen AI models with Vertex AI evaluation service and LLM comparator

March 1, 2025

In "FAANG"

Policy Maps: Tools for Guiding the Unbounded Space of LLM Behaviors

AI policy sets boundaries on acceptable behavior for AI models, but this is challenging in the context of large language models (LLMs): how do you ensure coverage over a vast behavior space? We introduce policy maps, an approach to AI policy design inspired by the practice of physical mapmaking. Instead…

November 4, 2025

In "FAANG"

Implementing Prompt Compression to Reduce Agentic Loop Costs

Agentic loops in production can be synonymous with high costs, especially when it comes to both LLM and external application usage via APIs, where billing is often closely related to token usage.

May 12, 2026

In "AI/ML Research"

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