Commissioned

What is Commissioned?

Commissioned is an innovative fine-tuning^[1] service designed to enhance the performance of language models^[2] (LLMs^[3]) without requiring a dedicated machine learning (ML) team. It simplifies the fine-tuning process, allowing users to create tailored models in a matter of minutes rather than weeks. By supporting various data formats and model providers like OpenAI and Gemini, Commissioned enables users to upload their own data, such as conversations, documents, or codebases, and receive a customized model ready for deployment.

How to use Commissioned?

1. Visit the Commissioned website and log in to your account.
2. Upload your data files, which can include PDFs, plain text, or JSON/JSONL formats.
3. Specify the desired outcome for your fine-tuned model.
4. Choose the model provider you wish to use (e.g., OpenAI, Gemini).
5. Wait for the fine-tuning process to complete, which typically takes 30–45 minutes.
6. Access your ready-to-use model and chat interface, and share the link with your team.

What are the main features of Commissioned?

• Rapid Fine-Tuning: Complete the fine-tuning process in as little as 30 minutes, allowing for quick deployment of customized models.
• User-Friendly Interface^[4]: A point-and-click workflow that requires no coding skills, making it accessible for users of all backgrounds.
• Multiple Data Formats: Supports a variety of input formats, including PDFs, plain text, and JSON/JSONL files, enabling flexible data handling.
• Model Provider Flexibility: Choose from leading model providers like OpenAI and Gemini, with plans to include larger open-source models.
• Collaborative Features: Share generated models with your team easily and manage access for collaborative projects.

Who is Commissioned for?

Commissioned is designed for individuals and teams looking to enhance their language models without the need for extensive machine learning expertise. This includes content creators, marketers, product managers, and developers who want to leverage AI for personalized applications, such as chatbots, content generation, or automated responses. The tool is particularly beneficial for those who need quick, efficient solutions to fine-tune models for specific use cases without the lengthy setup typically associated with ML projects.

What are the use cases of Commissioned?

1. Content Creation: Fine-tune models to generate blog posts, articles, or newsletters that reflect a specific writing style or voice.
2. Customer Support Automation: Create chatbots that understand and respond in a manner consistent with company communication, improving customer interactions.
3. Personalized Recommendations: Use fine-tuned models to provide tailored product or content recommendations based on user preferences and historical data.