Humanloop is an essential toolkit for any team serious about deploying and iterating on LLM applications in production. It provides the observability and evaluation framework needed to build reliable AI-powered features, though its cost may be a factor for smaller projects.
The platform for building reliable LLM applications with tools for evaluation, experimentation, data collection, and fine-tuning.
Humanloop is an LLMOps platform designed for developers and teams building applications on top of large language models (LLMs). It provides a comprehensive suite of tools to manage the entire lifecycle of an LLM-powered feature, from initial prompt engineering to production monitoring and continuous improvement. The platform acts as a central hub for experimenting with different models and prompts, evaluating their performance with A/B tests, and tracking costs. Key to Humanloop is its ability to create a feedback loop. It allows developers to collect explicit and implicit feedback from users directly within their application, log all model inputs and outputs, and use this real-world data to identify issues and opportunities for improvement. This data can then be used to fine-tune models for better performance, accuracy, and reliability. Humanloop is built for teams that need to move beyond simple API calls and require a more robust, scalable, and data-driven approach to developing production-grade AI products.
Software developers, AI/ML engineers, and product teams building with large language models.
Based on 0 reviews
2020
London, United Kingdom
Free
Free
Growth
$100/mo
Scale
$500/mo
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