Braintrust

Braintrust simplifies AI development by providing tools for evaluation, logging, and data management.
August 15, 2024
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Braintrust Website

About Braintrust

Braintrust is an innovative platform that empowers teams to build and optimize AI applications seamlessly. With its unique iterative LLM workflows, users can evaluate model performance and streamline their development process. Designed for both technical and non-technical users, Braintrust is ideal for enhancing AI product quality.

Braintrust offers flexible subscription plans to accommodate various user needs. Each tier provides distinct features designed to enhance AI product development. By upgrading, users unlock advanced functionalities that simplify model evaluations and streamline workflows, making Braintrust a valuable investment for AI teams focused on quality and efficiency.

Braintrust's user interface is intuitively designed for a seamless browsing experience. Key features like real-time visualizations and easy navigation allow users to interact effortlessly with the platform. This user-friendly design ensures that teams can quickly leverage Braintrust's capabilities to optimize their AI applications effectively.

How Braintrust works

Users start their journey with Braintrust by signing up and onboarding, where they're introduced to the platform's features. Navigating through the intuitive interface, users can create and tweak LLM prompts, utilize industry-standard scoring systems, and visualize model performance over time. Braintrust’s emphasis on user experience makes it easy to manage AI projects efficiently.

Key Features for Braintrust

Iterative LLM Workflows

The iterative LLM workflows of Braintrust enable teams to refine their AI models continuously. By evaluating prompts and tracking performance over time, users benefit from optimized results and improved model accuracy, making Braintrust an essential tool for AI development.

Real-time Monitoring

Braintrust’s real-time monitoring feature allows users to track AI interactions as they happen. By providing insights into model behavior and performance, it ensures optimal functioning in production environments, enhancing the overall reliability and efficacy of AI applications.

Custom Scorers

Braintrust enables users to define custom scorers in TypeScript and Python, enhancing flexibility in evaluating AI models. This feature allows teams to align scoring methods with specific project requirements, providing tailored insights that drive smarter AI development decisions.

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