Mikyo
@mikeldking.bsky.social did:plc:nvwnb6g7kxgjnitgw2pqjyyi
Building the future of OSS AI observability ☕️🚲🧗🏻♂️🏂⛰🕴
Bei Bluesky seit
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Zusammenfassung
Mikyo (@mikeldking.bsky.social) ist seit 12 Juli 2023 auf Bluesky. Das Konto hat 53 Follower, folgt 29 Konten und hat 119 Posts veröffentlicht.
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As agents gain capabilities due to skills, MCPs, and codemode, evaluating agents becomes increasingly more difficult because you need to test across multiple environments and harnesses. Arize Phoenix your benchmarking Harbor runs so pinpointing improvements and regressions becomes tractable.
Post anzeigenWe put PXI, Claude Code, and Codex through the same tasks with Harbor + Phoenix Even when agents succeeded, their traces told different stories: tool calls, latency, and efficiency. Join Oct 8 at 11am PT / 2pm ET to learn how to compare agents and inspect ATIF traces. luma.com/arizeai-ben...
Post anzeigenWe’re going live in 30 minutes for our webinar on Benchmarking AI Agents & Tool Use with Harbor and Arize Phoenix! Join here: luma.com/arizeai-ben...
Post anzeigennew baselining capabilities for experiments Now when you have a baseline set on your experiments or when you care comparing two experiments, you can see the deltas of your evals, tokens, latency and cost so you can quickly identify regressions and improvements.
Post anzeigenFor all you Codex fans out there, we've just added support for Codex as the harness for your managed agents. Configure your managed agents with Codex as the harness, select your models, skills, attach repos, and define your task. Then let your managed agent rip!
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