Query and compare a large selection of open-source and proprietary models at once.
Whether you are fine-tuning LLMs or developing AI apps, use Airtrain’s Data Explorer to visualize, cluster, and curate your training and evaluation datasets.
Customize foundational models on your private data to adapt them to your particular use case.
Small fine-tuned model can perform on par with GPT-4 and are up to 90% cheaper.
Serve your custom models from the Airtrain API in the cloud or within your secure infrastructure.
Evaluate and compare open-source and proprietary models across your entire dataset with custom properties.
Airtrain’s powerful AI evaluators let you score models along arbitrary properties for a fully customized evaluation.
Find out what model generates outputs compliant with the JSON schema required by your agents and applications.
Your dataset gets scored across models with standalone metrics such as length, compression, coverage.
Airtrain AI is beloved by AI, ML, and tech professionals like you.
"'Vibe-checking' all the top language models is so cool. Great way to test drive."
"Very cool! As a full stack dev who's primarily used OpenAI and Gemini models for code generation, this is super useful for comparing performance and quality of other LLMs."
"With a seemingly never-ending list of new models being released these days, this looks useful to evaluate both the different versions of, and alternate models over time for specific use cases."
"Very useful product, love it!"
"The availability of open-source LLMs is only part of the solution - the real big missing piece for faster adoption of them is tools like these to easily evaluate, pick, and customize models."
"Hey! This is really cool Thanks for what you're doing for the LLM community. I think investments like this in accessibility around these models is going to be critical to fulfill it's full potential. Love the vibe check."
"Airtrain AI is a great way to "vibe-check" all LLM models to see who did it better! Great tool for founders who are building AI tools!"