🔍 LangKit: An open-source toolkit for monitoring Large Language Models (LLMs). 📚 Extracts signals from prompts & responses, ensuring safety & security. 🛡️ Features include text quality, relevance metrics, & sentiment analysis. 📊 A comprehensive tool for LLM ob
Monitor and evaluate the performance of language models by analyzing their text outputs.
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Free · no card · unsubscribe anytime🔍 LangKit: An open-source toolkit for monitoring Large Language Models (LLMs). 📚 Extracts signals from prompts & responses, ensuring safety & security. 🛡️ Features include text quality, relevance metrics, & sentiment analysis. 📊 A comprehensive tool for LLM ob
langkit has 995 stars on GitHub. It has been forked 74 times. langkit is written mainly in Jupyter Notebook. It has been in active development since 2023. langkit is available under the Apache-2.0 license. Its main topics are large-language-models, machine-learning, nlg, nlp.
🔍 LangKit: An open-source toolkit for monitoring Large Language Models (LLMs). 📚 Extracts signals from prompts & responses, ensuring safety & security. 🛡️ Features include text quality, relevance metrics, & sentiment analysis. 📊 A comprehensive tool for LLM ob
langkit is an open-source project. It is released under the Apache-2.0 license.
Yes. langkit is free and open source — you can use, modify and self-host it.
langkit is available under the Apache-2.0 license.
langkit is written mainly in Jupyter Notebook.
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