Airtrain is a robust no-code compute platform tailored for large-scale language model evaluations and fine-tuning. It facilitates data processing with tools like Dataset Explorer, LLM Playground, and batch evaluation, making it ideal for AI data teams. Users can upload evaluation datasets of up to 10,000 examples, select from various open-source and proprietary LLMs, and achieve cost-effective, customized AI solutions.
Who will use Airtrain.ai LLM Playground?
AI developers
Product builders
Data scientists
Data engineers
How to use the Airtrain.ai LLM Playground?
Step1: Sign up and log in to Airtrain.
Step2: Upload your evaluation dataset (up to 10,000 examples).
Step3: Select the desired LLM from the available models.
Step4: Configure your compute workload.
Step5: Initiate the batch evaluation or fine-tuning task.
Step6: Review the results and perform additional analyses as needed.
Platform
web
Airtrain.ai LLM Playground's Core Features & Benefits
The Core Features
No-code compute
LLM Playground
Dataset Explorer
Batch evaluation
Fine-tuning tools
The Benefits
Streamline LLM evaluation tasks
Support for up to 10,000 examples
Simultaneous use of multiple LLMs
Cost-effective AI solution
Airtrain.ai LLM Playground's Main Use Cases & Applications
LLM evaluation
Data processing
Model fine-tuning
Custom AI solutions
Airtrain.ai LLM Playground's Pros & Cons
The Pros
Focused on AI safety and customization
Helped improve AI model evaluation and shipping
Joined a leading AI developer tools platform (Weights & Biases) for enhanced capabilities
The Cons
Products are being sunsetted and no longer available