Airtrain.ai LLM Playground

What is Airtrain.ai LLM Playground
Airtrain AI is a comprehensive platform designed to help enterprise data science teams organize and process their data efficiently. It offers tools for data exploration, visualization, curation, auto-clustering, and zero-shot labeling & classification. The platform also supports fine-tuning and evaluation of large language models (LLMs), enabling teams to reduce costs and improve model performance.
How to Use Airtrain.ai LLM Playground
- Import your datasets into the platform.
- Visualize insights and discover semantic clusters.
- Curate your data to remove noise and amplify high-quality data.
- Fine-tune and evaluate LLMs using the provided tools.
- Export the fine-tuned models for deployment.
Use Cases of Airtrain.ai LLM Playground
Airtrain AI is used by enterprise data science teams to streamline data processing, improve data quality, and optimize AI workflows. It is particularly useful for teams looking to fine-tune and evaluate LLMs, reduce inference costs, and improve model performance.
Features of Airtrain.ai LLM Playground
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Exploration & Visualizations
Import datasets and visualize insights instantly to understand data patterns and trends.
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Data Curation
Generate high-quality datasets by removing noise and focusing on relevant data.
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Auto-Clustering
Automatically group similar data points to discover hidden patterns and insights.
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Zero-shot Labeling & Classification
Label and classify data without the need for extensive training datasets.
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LLM Fine-Tuning
Customize large language models to suit specific use cases and improve performance.
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LLM Playground
Test and compare over 30 state-of-the-art large language models in one place.
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LLM Evaluation
Evaluate and compare LLMs on your entire evaluation set to select the best model.