Langwatch

Langwatch

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Website: langwatch.ai

Langwatch is a platform for managing and optimizing Large Language Model applications, offering tools for performance monitoring, risk mitigation, and integration with various LLM providers.

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AI solutions are becoming fundamental to businesses of all sizes. Langwatch provides all-in-one tooling to improve and iterate on your current models, as well as mitigating risks such as data leakage, jailbreaking and hallucinations. To create AI with confidence, create it with Langwatch.

LangWatch is a comprehensive platform designed to manage and optimize the lifecycle of Large Language Model (LLM) applications. It provides a suite of tools to monitor, evaluate, and improve the performance of LLMs, helping developers overcome the challenges of non-deterministic AI output and manual optimization processes. LangWatch's UI enables users to experiment with prompts and hyperparameters without altering production code, allowing deeper customization when needed.

Key features of LangWatch include its model-agnostic design, which supports integration with various LLM providers such as OpenAI, Azure, and Hugging Face. The platform allows for easy integration into any tech stack, supporting frameworks like LangChain and LiteLLM. LangWatch also offers analytics tools to track topics, events, and custom graphs, providing business metrics to measure the real ROI of LLM applications. Additionally, it supports deployment options that include self-hosted or hybrid models for enhanced data control and security.

LangWatch emphasizes the importance of human evaluation by allowing domain experts to integrate into workflows, ensuring high-quality outputs. The platform is GDPR compliant and ISO27001 certified, ensuring enterprise-level security standards. Role-based access controls enable efficient project and team management under one organization, allowing for both domain expert and developer involvement in optimizing LLM performance. Overall, LangWatch streamlines the development process by automating tasks traditionally done manually, such as prompt optimization and model selection, and provides a structured approach to LLM application development.

This description was generated by AI (artificial intelligence). AI can make mistakes. Check important info.

Website: langwatch.ai

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