LangKit LangKit is an open-source text metrics toolkit for monitoring language models. It offers an array of methods for extracting relevant signals from the input and/or output text, which are compatible with the open-source data logging library whylogs. 💡 Want to experience LangKit? Go to this notebook! Table of Contents 📖 Motivation Features Installation Usage Modules Motivation 🎯 Productionizing language models, including LLMs, comes with a range of risks due to the infinite amount of input combinations, which can elicit an infinite amount of outputs.
| Stars | 998 |
| Forks | 76 |
| Language | Jupyter Notebook |
| Category | AI 工具 |
| License | Apache-2.0 |
| Quality Score | 69.9399208754836/100 |
| Open Issues | 39 |
| Last Updated | 2024-11-22 |
| Created | 2023-04-26 |
| Est. Tokens | ~351k |
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langkit is 🔍 LangKit: An open-source toolkit for monitoring Large Language Models (LLMs). 📚 Extracts signals from prompts & responses, ensuring safety & security. 🛡️ Features include text quality, relevance m. It is categorized as a AI 工具 with 998 GitHub stars.
langkit is primarily written in Jupyter Notebook. It covers topics such as large-language-models, machine-learning, nlg.
You can find installation instructions and usage details in the langkit GitHub repository at github.com/whylabs/langkit. The project has 998 stars and 76 forks, indicating an active community.
langkit is released under the Apache-2.0 license, making it free to use and modify according to the license terms.