airtrain-ai

LLM fine-tuning and evaluation platform supporting no-code model customization and batch response comparison

Testing & QA Research Tools Developer Tools Large Language Models (LLMs)Low Code & No Code

Overview Alternatives

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What is airtrain-ai?

Airtrain AI is a user-friendly, no-code platform designed to streamline the large-scale fine-tuning, evaluation, and comparison of large language models (LLMs). The platform empowers AI developers, data scientists, and enterprises to customize open-source or commercial LLMs—including GPT-3.5, GPT-4, Claude, Gemini, and Llama 2—using their own datasets without writing any code. It supports large dataset exploration, semantic clustering, batch evaluation, and fine-tuning across multiple metrics, helping users meet domain-specific requirements while reducing AI costs by up to 90%. Airtrain AI also integrates with mainstream frameworks like LlamaIndex and provides a Playground for prompt testing and model response comparison.

Key Features of airtrain-ai?

No-code interface

Enables users without programming experience to upload datasets, fine-tune models, and evaluate large language models (LLMs) through an intuitive web interface.

Multi-model support

Supports various open-source and commercial LLMs, including GPT-3.5, GPT-4, Claude, Gemini, Mistral, Llama 2, and custom models.

Dataset exploration and semantic clustering

Provides automated data segmentation, visualization, and insight generation tools to help users organize high-quality datasets.

Batch evaluation and advanced metrics

Supports large-scale offline evaluation of multiple LLMs with customizable metrics such as AI scoring, JSON schema validation, and reference-based evaluation.

Model fine-tuning and export

Enables fine-tuning of LLMs based on user data and exporting model weights ready for deployment on Hugging Face.

LLM Playground

Interactive environment for testing prompts and comparing responses across different models.

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airtrain-ai