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features
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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.

Description

OpenPipe offers an efficient platform for developers to fine-tune their models. It allows you to keep your datasets, models, and evaluations organized in a single location. You can train new models effortlessly with just a click. The system automatically logs all LLM requests and responses for easy reference. You can create datasets from the data you've captured, and even train multiple base models using the same dataset simultaneously. Our managed endpoints are designed to handle millions of requests seamlessly. Additionally, you can write evaluations and compare the outputs of different models side by side for better insights. A few simple lines of code can get you started; just swap out your Python or Javascript OpenAI SDK with an OpenPipe API key. Enhance the searchability of your data by using custom tags. Notably, smaller specialized models are significantly cheaper to operate compared to large multipurpose LLMs. Transitioning from prompts to models can be achieved in minutes instead of weeks. Our fine-tuned Mistral and Llama 2 models routinely exceed the performance of GPT-4-1106-Turbo, while also being more cost-effective. With a commitment to open-source, we provide access to many of the base models we utilize. When you fine-tune Mistral and Llama 2, you maintain ownership of your weights and can download them whenever needed. Embrace the future of model training and deployment with OpenPipe's comprehensive tools and features.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Mistral AI
Python
DeepSeek
DeepSeek V3.1
GPT-5.3 Instant
Gemini 3 Pro
Grok 4
JSON
Llama 2
Mathstral
Microsoft Excel
Ministral 3B
Ministral 8B
Mistral Large
Mixtral 8x22B
Mixtral 8x7B
PostgreSQL
Qwen
React
TypeScript

Integrations

Mistral AI
Python
DeepSeek
DeepSeek V3.1
GPT-5.3 Instant
Gemini 3 Pro
Grok 4
JSON
Llama 2
Mathstral
Microsoft Excel
Ministral 3B
Ministral 8B
Mistral Large
Mixtral 8x22B
Mixtral 8x7B
PostgreSQL
Qwen
React
TypeScript

Pricing Details

$25 per month
Free Trial
Free Version

Pricing Details

$1.20 per 1M tokens
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

LLM Council

Country

United States

Website

llmcouncil.ai/

Vendor Details

Company Name

OpenPipe

Country

United States

Website

openpipe.ai/

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