Chat

Access to the best proprietary and open-source LLMs on the market

About Chat

Chat allows you to dialogue with several advanced language models:

  • GPT 3.5, GPT 4 and GPT4o (OpenAI)
  • Mistral Small and Mistral Large (Mistral)
  • Command R and Command R+ (Cohere)
  • LLama3 (Meta)

Features

The capabilities of language models are very important. Through simple queries in natural language (in human language), you can benefit from the capabilities of LLMs among which you will find:

Text summarization: summarize long texts by extracting the most important information.
Text generation: create written content autonomously, such as product descriptions, scripts, etc.
Answering problems or questions: respond to specific questions using information available in the training data or provide explanations or information on various topics.
Information classification: classify into different categories, such as discussion topics, document types, etc. This feature is used to organize and filter large amounts of textual data
Information extraction: extract specific information from a text, such as names, dates, places, etc. This capability is useful for information retrieval and creating databases from unstructured texts.
Creating exportable tables, text completion, and many other capabilities to use!

Getting started

Model choice

Use the selector in the chat bar to choose the desired language model. You can change models at any time during the conversation without usage restriction other than total credits. An estimate of the cost of your request is specified on the interface.

Eco Mode

Activate Eco mode with a simple click to optimize memory and reduce necessary resources (ideal for prolonged conversations). On average, eco mode divides credit costs by 10, regardless of the language model used, without significantly reducing the quality of responses.

Search Conversations

The "Search" button allows you to easily find past conversations based on their topic.

Modify your requests

Use the modification or prompt regeneration button to modify or react based on the model's response.