DEEPSEEK
LangSmith Enhances LLM Evaluations with Pytest and Vitest Integrations
LangSmith introduces Pytest and Vitest integrations to enhance LLM application evaluations, offering improved testing frameworks for developers.
Captide Transforms Equity Research with LangGraph and LangSmith Integration
Captide revolutionizes financial analysis by integrating LangGraph and LangSmith, offering unparalleled efficiency in extracting insights from financial data.
Acxiom Enhances Audience Segmentation with LangSmith Integration
Acxiom leverages LangSmith to overcome challenges in AI-driven audience segmentation, enhancing scalability, observability, and audience reach for marketing campaigns.
LangSmith Integrates OpenTelemetry for Enhanced Observability
LangSmith, a platform for AI application monitoring, now supports OpenTelemetry, allowing developers to gain comprehensive insights into application performance with improved distributed tracing capabilities.
Cleric Enhances AI SRE Capabilities with LangSmith's Continuous Learning
Cleric, an AI SRE tool, leverages LangSmith's tracing and feedback capabilities to improve debugging efficiency and generalize insights across deployments.
Composio's SWE Agent Achieves 48.6% on SweBench with LangGraph and LangSmith
Composio's SWE agent, leveraging LangGraph and LangSmith, achieved a 48.6% score on SweBench, showcasing advancements in open-source AI-driven software engineering.
Replit Enhances AI Agent Monitoring with LangSmith Integration
Replit leverages LangSmith to improve AI agent performance, with advancements in trace handling, search functionalities, and human-in-the-loop workflows.
Paradigm Utilizes LangChain and LangSmith for Advanced AI-Driven Spreadsheets
Paradigm leverages LangChain and LangSmith to build, iterate, and monitor thousands of AI agents, enhancing their AI-driven spreadsheet capabilities.
LangSmith Enhances LLM Apps with Dynamic Few-Shot Examples
LangSmith introduces dynamic few-shot example selectors, allowing for improved LLM app performance by dynamically selecting relevant examples based on user input.
LangSmith Introduces Flexible Dataset Schemas for Efficient Data Curation
LangSmith now offers flexible dataset schemas, enabling efficient and iterative data curation for LLM applications, as announced by LangChain Blog.