It is a collaborative, developer-centric, and cloud-based workspace that helps you monitor and improve AI features powered by LLMs and other foundation models.
Autoblocks is a tool in the Development & Training Tools category of a tech stack.
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It is a platform for building production-grade LLM applications. It lets you debug, test, evaluate, and monitor chains and intelligent agents built on any LLM framework and seamlessly integrates with LangChain, the go-to open source framework for building with LLMs.
It improves the cost, performance, and accuracy of Gen AI apps. It takes <2 mins to integrate and with that, it already starts monitoring all of your LLM requests and also makes your app resilient, secure, performant, and more accurate at the same time.
It is an AI observability and LLM evaluation platform designed to help ML and LLM engineers and data scientists surface model issues quicker, resolve their root cause, and ultimately, improve model performance.
It is the leading observability platform trusted by high-performing teams to help maintain the quality and performance of ML models, LLMs, and data pipelines.
Hugging Face, GitHub, JavaScript, Python, LangChain and 1 more are some of the popular tools that integrate with Autoblocks. Here's a list of all 6 tools that integrate with Autoblocks.