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Description

Understanding the shortcomings of models can be challenging, particularly in identifying which data caused poor performance and the reasons behind it. Galileo offers a comprehensive suite of tools that allows machine learning teams to detect and rectify data errors up to ten times quicker. By analyzing your unlabeled data, Galileo can automatically pinpoint patterns of errors and gaps in the dataset utilized by your model. We recognize that the process of ML experimentation can be chaotic, requiring substantial data and numerous model adjustments over multiple iterations. With Galileo, you can manage and compare your experiment runs in a centralized location and swiftly distribute reports to your team. Designed to seamlessly fit into your existing ML infrastructure, Galileo enables you to send a curated dataset to your data repository for retraining, direct mislabeled data to your labeling team, and share collaborative insights, among other functionalities. Ultimately, Galileo is specifically crafted for ML teams aiming to enhance the quality of their models more efficiently and effectively. This focus on collaboration and speed makes it an invaluable asset for teams striving to innovate in the machine learning landscape.

Description

The LLM Council serves as a streamlined orchestration tool that allows users to simultaneously query various large language models and consolidate their responses into a singular, more reliable answer. Rather than depending on a single AI, it sends a prompt to a group of models, each generating its own independent response, which are then evaluated and ranked anonymously by the others. Subsequently, a designated “Chairman” model synthesizes the most compelling insights into a cohesive final output, akin to a group of experts arriving at a consensus. Typically, it operates through a straightforward local web interface that features a Python backend and a React frontend, while also connecting to models from providers like OpenAI, Google, and Anthropic via aggregation services. This systematic peer-review approach aims to uncover potential blind spots, minimize hallucinations, and enhance the reliability of answers by incorporating diverse viewpoints and facilitating cross-model evaluation. With its collaborative framework, the LLM Council not only improves the quality of the output but also fosters a more nuanced understanding of the questions posed.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Amazon Bedrock
DeepSeek
DeepSeek V3.1
Gemini
Gemini 1.5 Flash
Gemini 2.0
Gemini 2.0 Flash
Gemini 3 Pro
Gemini Enterprise
Gemini Enterprise Agent Platform
Gemini Nano
Google Slides
LangChain
Microsoft Excel
Microsoft Word
Mistral AI
OpenAI
Qwen
React

Integrations

Amazon Bedrock
DeepSeek
DeepSeek V3.1
Gemini
Gemini 1.5 Flash
Gemini 2.0
Gemini 2.0 Flash
Gemini 3 Pro
Gemini Enterprise
Gemini Enterprise Agent Platform
Gemini Nano
Google Slides
LangChain
Microsoft Excel
Microsoft Word
Mistral AI
OpenAI
Qwen
React

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

$25 per month
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Galileo

Founded

2021

Country

United States

Website

www.galileo.ai/

Vendor Details

Company Name

LLM Council

Country

United States

Website

llmcouncil.ai/

Product Features

Machine Learning

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

Product Features

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