Langtail
Langtail is a low-code LLMOps platform that helps teams accelerate AI-powered application development through prompt engineering, testing, monitoring, and deployment tools.
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Обновлено:31/10/2024
Что такое Langtail
Langtail is an end-to-end platform designed specifically for building and managing Large Language Model (LLM) applications. Founded by Petr Brzek and Tomas Rychlik, it offers a comprehensive suite of tools that enables both technical and non-technical teams to collaborate effectively in developing AI-powered applications. The platform bridges the gap between proof-of-concept and production-ready AI applications by providing collaborative workspaces, testing capabilities, and deployment infrastructure.
Ключевые особенности Langtail
Langtail is a comprehensive LLMOps platform that helps teams accelerate the development and deployment of AI-powered applications. It provides a low-code environment with tools for prompt engineering, testing, debugging, analytics, and monitoring. The platform enables both technical and non-technical team members to collaborate effectively, test LLM behaviors systematically, and ensure consistent performance from prototype to production.
No-Code Playground: Provides an intuitive interface for prompt engineering and experimentation without requiring coding skills, supporting models like GPT-3.5 and GPT-4
Comprehensive Testing Suite: Offers spreadsheet-like interface for creating test cases, defining assertions, and evaluating prompt performance across different scenarios
Security and Safety Controls: Includes AI Firewall with one-click setup to prevent prompt injections, DoS attacks, and unsafe content generation
Analytics and Monitoring: Provides detailed logs, metrics, and insights to track performance, debug issues, and optimize LLM applications
Варианты использования Langtail
AI Product Development: Teams can rapidly prototype, test, and refine AI features before integrating them into their products, as demonstrated by Deepnote's engineering team
Cross-Team Collaboration: Enables both technical and non-technical team members to work together on prompt engineering and testing, streamlining the development process
Production Deployment: Helps teams transition from proof-of-concept to production-ready AI applications with comprehensive testing and monitoring capabilities
Преимущества
Speeds up AI development workflow significantly
Makes LLM testing accessible to non-technical users
Provides comprehensive security and safety features
Недостатки
May not cover all niche development needs
Requires initial setup and integration effort
Как использовать Langtail
Create an Account: Sign up for a free Langtail account at app.langtail.com
Generate API Key: Navigate to Secrets in the left sidebar, click New API Key, set optional name and budget limit, then copy the generated key
Set Up Project: Navigate to the project view in Langtail to prepare for prompt creation and testing
Integrate SDK: Install the Langtail SDK by running 'npm i langtail' in your project and configure it with your API key
Create Prompts: Use the spreadsheet-like interface to create and edit your LLM prompts in the Langtail playground
Add Test Cases: Build test cases using the spreadsheet interface to validate prompt behaviors with real-world data
Run Tests: Execute tests to evaluate prompt performance and catch potential issues before deployment
Deploy Prompts: Deploy tested prompts to your desired environment (staging/production) through Langtail
Monitor Performance: Use Langtail's logging and analytics tools to monitor prompt performance and debug issues in production
Collaborate: Invite team members to collaborate on prompt development and testing using Langtail's shared workspace features
Часто задаваемые вопросы о Langtail
Langtail is a low-code LLMOps (Large Language Model Operations) platform that helps teams develop, test, and deploy AI-powered applications. It's designed to accelerate the process of taking LLM prototypes to production with fewer surprises.
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Тенденции трафика: Jun 2024-Sep 2024
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