Blog — page 11.
LLM-as-a-Judge: Example of How To Build a Custom Evaluator Using a Benchmark Dataset
When To Build Custom Evaluators Arize-Phoenix ships with pre-built evaluators that are tested against benchmark datasets and tuned…
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adb Database: Realtime Ingestion At Scale
We put out our first blog on the introducing the Arize database – adb – in the beginning…
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New In Arize AX: Prompt Learning, Arize Tracing Assistant, and Multiagent Visualization
July was a big month for Arize AX, with updates to make AI and agent engineering much easier.…
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A Watermark for Large Language Models
In our latest live AI research papers community reading, the primary author of the popular paper A Watermark…
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Unlocking Safer AI: Your Two-Part Field Guide
Large language models are reshaping how we build products — and how adversaries try to break them. To…
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LLM Observability for AI Agents and Applications
The era of single-turn LLM calls is behind us. Today’s AI products are powered by increasingly autonomous agents…
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Prompt Learning: Using English Feedback to Optimize LLM Systems
Applications of reinforcement learning (RL) in AI model building has been a growing topic over the past few…
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Self-Adapting Language Models: Paper Authors Discuss Implications
In a recent live AI research paper reading, the authors of the new paper Self-Adapting Language Models (SEAL)…
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Meet Alyx: Arize’s Evolving AI Agent
We’re excited to introduce Alyx, the next evolution in Arize’s intelligent assistant. You might remember our first iteration…
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Introducing adb: Arize’s Proprietary OLAP Database
Earlier this month, we rolled out real‑time ingestion support to every Arize AX workspace—paid and free. With that…
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The Illusion of Thinking: What the Apple AI Paper Says About LLM Reasoning
A recent paper from Apple researchers—The Illusion of Thinking: Understanding the Strengths and Limitations of Reasoning Models via…
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Accurate KV Cache Quantization with Outlier Tokens Tracing
Deploying large language models (LLMs) at scale is expensive—especially during inference. One of the biggest memory and performance…
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Arize gives AI teams observability and evals to understand and improve agent performance.
