New GroundedAI Tool Helps Test Language Models Simply

A new tool called GroundedAI was released on March 20, 2026. It helps people test AI language models more easily, similar to how you might compare different apps.
By Newsroom | Technology, Software |

A new tool, GroundedAI, offers a unified, type-safe Python API designed to simplify the evaluation of outputs from various large language model (LLM) applications. The core of the system is a single evaluate() function that can work across different LLM backends, including its own "SLM" models, HuggingFace, OpenAI, and Anthropic.

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GroundedAI's central proposition is standardization, aiming to provide a single, consistent method for assessing LLM performance regardless of the underlying model or provider. This approach seeks to streamline the often complex and fragmented process of determining if an LLM's output is accurate, relevant, or free from undesirable traits like hallucinations.

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For those seeking to run models locally, GroundedAI provides an option to install specialized models on a user's own hardware. This requires an additional package installation and is recommended for users with GPUs. The system also supports the use of high-precision auditing tools like GPT-4o or Claude, suggesting a tiered approach to evaluation based on required accuracy. The grounded-ai package was recently published on PyPI on March 20, 2026, with version 1.1.0. This release includes attestations for transparency and security, detailing its publication via GitHub Actions and its distribution through PyPI.

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Local LLM Deployment Options Expand

The development of GroundedAI coincides with a growing ecosystem for running LLMs locally. Ollama is frequently mentioned as a key platform for this, facilitating the installation and deployment of various language models on user hardware. Guides published recently, such as one on February 1, 2026, and another on June 29, 2025, detail how to install Ollama on different operating systems (Windows, Linux, macOS) and download models using simple commands like ollama run deepseek-r1 or ollama run llama3.2.

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Ollama allows users to run models directly on their own machines, offering a degree of control and privacy. It operates by listening on port 11434. The platform also enables modification of model behavior and provides command-line and REST API interfaces for interaction. Beyond basic deployment, tutorials highlight integrating Ollama with third-party tools, using Python to interact with its API, and building more complex applications like RAG systems or function-calling models. The prospect of "Your Own Private AI" is increasingly presented as a viable option for developers and enthusiasts.

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Frequently Asked Questions

Q: What is the new GroundedAI tool and what does it do?
GroundedAI is a new Python tool released on March 20, 2026. It helps people test and compare different AI language models easily using a single command. This makes it simpler to see if AI answers are good.
Q: How does GroundedAI help test different AI models?
GroundedAI has one main function, `evaluate()`, that works with many AI models like OpenAI and HuggingFace. It gives a standard way to check if the AI's answers are correct or if they make things up.
Q: Can I run AI models on my own computer with GroundedAI?
Yes, GroundedAI allows you to install special models on your computer, especially if you have a good graphics card (GPU). It also works with tools like Ollama, which helps set up AI models locally.
Q: When was GroundedAI released and what version is it?
The `grounded-ai` package was published on PyPI on March 20, 2026. The current version is 1.1.0, and it includes details about its security and how it was made.
Q: What is Ollama and how does it relate to running AI models locally?
Ollama is a platform that helps users install and run various AI language models on their own computers. Guides from February 1, 2026, and June 29, 2025, show how to set it up on Windows, Linux, and macOS, allowing for a 'Private AI' experience.