LLM Sandbox by Dioptra

LLM Sandbox by Dioptra is a comprehensive tool for managing and improving large language models. It offers features like hallucination detection, prompt evaluation, and performance tracking, making it ideal for developers and data scientists working with open-source models.

What is LLM Sandbox by Dioptra?

LLM Sandbox by Dioptra is an all-in-one environment designed for LLM data curation, prompt evaluation, and performance tracking. It helps users detect hallucinations, evaluate prompts, select the right data for fine-tuning models, and track performance across versions. The tool focuses on open-source data curation and management for Computer Vision, NLP, and LLMs, making it ideal for developers and data scientists looking to improve model accuracy and efficiency.

Use Cases

• Improve model accuracy on difficult cases
• Shorten training cycles through efficient data curation
• Reduce labeling costs by selecting high-value data

Core Benefits

• Comprehensive environment for LLM development
• Focus on data curation and management
• Tools for diagnosing model failures
• Integration with labeling and retraining stacks
• Open source approach

Key Features

• Hallucination detection
• Prompt evaluation
• Data selection for fine-tuning
• Performance tracking
• Open source data curation & management
• Active learning miners

How to Use

1. 1
   Register your metadata with Dioptra
2. 2
   Diagnose model failure modes using the platform
3. 3
   Curate valuable unlabeled data with active learning miners
4. 4
   Integrate with your labeling and retraining stack using Dioptra APIs

Frequently Asked Questions

Pros & Cons (Reserved)

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