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Agent Evaluation

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  • What Jev’s probabilities reveal that repeated LLM judgments miss

    I tested Jev and five LLM judges across ten Arize Phoenix evaluators to measure how often their answers changed alongside accuracy, cost, and latency. The post What Jev’s probabilities reveal that repeated LLM judgments miss appeared first on Arize AI.

    Arize AI12 min read
  • How to build a remote evaluator in Arize AX with Jev

    Evaluate agent responses with Jev and Arize AX. Build a FastAPI remote evaluator, return labels and scores, and choose a threshold for your data. The post How to build a remote evaluator in Arize AX with Jev appeared first on Arize AI.

    Arize AI10 min read
  • Jev vs. LLM-as-a-Judge: Accuracy and cost benchmarks

    We benchmarked Jev against Claude Opus 5 and GPT-5.6 Terra on accuracy, cost, and latency. Learn how threshold tuning changes hallucination detection. The post Jev vs. LLM-as-a-Judge: Accuracy and cost benchmarks appeared first on Arize AI.

    Arize AI10 min read
  • Real-time LLM guardrails with Jev: comparing latency and cost

    Compare Jev and GPT-5.4 nano for real-time LLM guardrails, with demo results on latency, cost, and checks on agent inputs, replies, and tool calls. The post Real-time LLM guardrails with Jev: comparing latency and cost appeared first on Arize AI.

    Arize AI11 min read
  • What changes when AI agents use your software

    Daytona cofounder Ivan Burazin wants agents that can finish the job within the authority they have been given. His interview offers a starting point for examining how agents use your software. The post What changes when AI agents use your software appeared first on Arize AI.

    Arize AI8 min read
  • Baseten vs. Vivgrid: Inference Is Everything — Until Your Agent Has to Act

    Evaluating Baseten? Here's an honest comparison: Baseten is an inference platform for deploying and scaling your own models. Vivgrid is where enterprise agents run — frontier and open models on one key, cloud-hosted tools, evaluation before release, and BYOC that routes sensitive requests to your…

    Vivgrid Blog7 min read
  • Fireworks AI vs. Vivgrid: Fireworks Builds the Model, Vivgrid Runs the Agent

    Evaluating Fireworks AI? Here's an honest comparison: Fireworks is a training and inference cloud for open-weight models. Vivgrid is where enterprise agents run — frontier and open models on one key, cloud-hosted tools, evaluation before release, and BYOC that routes sensitive requests to your own…

    Vivgrid Blog8 min read
  • Together AI vs. Vivgrid: A Cloud for Models, a Platform for Agents

    Evaluating Together AI? Here's an honest comparison: Together is an AI-native cloud for running and fine-tuning open-source models. Vivgrid is where enterprise agents run — frontier and open models on one key, cloud-hosted tools, evaluation before release, and insight into what customers actually…

    Vivgrid Blog6 min read
  • Decouple the Agent: Why Prompts, Tools, and Models Don't Belong in Your Client

    A best-practices guide for enterprise AI agents: treat system prompts as runtime config, run tools as Managed Skills, and make models a platform decision — so you can debug faster, ship AI improvements without app releases, and fix production behavior from the console in minutes.

    Vivgrid Blog6 min read
  • Why Enterprise Agents Can't Run Tools on Laptops

    Personal agents run tools locally. Enterprise agents can't — credentials, auditing, consistency, and iteration speed all break at company scale. The answer is Managed Skills: agent tools that run in the cloud.

    Vivgrid Blog5 min read
  • Vivgrid Skills Marketplace - Autosend

    Automate customer emails from your AI agents using Autosend MCP on Vivgrid. Generate and send transactional emails, notifications, and more — no code needed.

    Vivgrid Blog2 min read

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