PulseAugur
EN
LIVE 17:00:35

LangSmith adds Tuned Evaluators to improve AI agent quality feedback

LangSmith has introduced Tuned Evaluators, a feature designed to enhance the quality feedback loop for AI agents by attaching specific quality metrics to production traces. Initially, this feature focuses on 'Perceived Error' to assist teams in identifying and rectifying mistakes made by AI agents. This development aims to improve the reliability and performance of AI systems in real-world applications. AI

IMPACT Enhances AI agent development by providing better tools for error detection and quality assessment.

RANK_REASON This cluster describes a product update for an AI development platform and a research application of AI for flood prediction, neither of which meet the criteria for frontier_release, significant, or research.

Read on Mastodon — fosstodon.org →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

LangSmith adds Tuned Evaluators to improve AI agent quality feedback

COVERAGE [2]

  1. Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] ·

    LangSmith Tuned Evaluators attach quality feedback to production traces, starting with Perceived Error, to help teams find and fix agent mistakes. Source: LangC

    LangSmith Tuned Evaluators attach quality feedback to production traces, starting with Perceived Error, to help teams find and fix agent mistakes. Source: LangChain Blog https://www. langchain.com/blog/introducing -langsmith-tuned-evaluators-starting-with-perceived-error # AI

  2. Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] ·

    A Google researcher explains how AI technology like Flood Hub and Groundsource can predict floods and help people around the world. Source: Google AI Blog https

    A Google researcher explains how AI technology like Flood Hub and Groundsource can predict floods and help people around the world. Source: Google AI Blog https:// blog.google/innovation-and-ai/ technology/research/flood-prediction-ai/ # AI # Google