Airtrain AI

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Airtrain.ai LLM Playground lets users compare and customize over 30 Language Models with no coding.

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What is Airtrain AI?

Airtrain.ai LLM Playground is a no-code platform designed for users to vibe-check and compare the quality, performance, and cost of various open-source and proprietary Language Model Models (LLMs) simultaneously. Users can assess over 30 state-of-the-art LLMs, including models like Claude, Gemini, Mistral AI, Open AI models, Llama 2, and Phi-2, among others. The platform offers features such as data analysis tools, AI coding assistants, and AI metrics and evaluation tools to enhance AI workflows. It facilitates tasks like dataset curation, LLM fine-tuning, and evaluation to customize models according to specific use cases. Overall, Airtrain.ai LLM Playground aims to simplify the process of selecting, evaluating, and customizing LLMs for various AI applications.

Who created Airtrain AI?

Airtrain.AI Llm Playground was founded by Emmanuel Turlay in 2022. The company is focused on building infrastructure for the AI age and offers a no-code platform for data curation, LLM evaluation, and fine-tuning. The team behind Airtrain.AI comprises tech industry veterans with extensive experience in infrastructure development at notable companies like Cruise, Google, Microsoft, and research institutions like CERN and Sandia National Lab.

What is Airtrain AI used for?

AI Metrics and Evaluation
AI coding assistants
Fine-tune and evaluate large language models (LLMs)
Reduce inference cost by up to 90% by fine-tuning small open-source models on curated datasets
Customize LLMs to specific use cases
Vibe-check and compare quality, performance, and cost across a wide selection of open-source and proprietary LLMs
Accelerate AI workflows with tools for dataset curation, LLM fine-tuning, and evaluation
Discover semantic clusters and unseen patterns in datasets
Generate high-quality datasets
Compare LLMs on an entire evaluation set
Data analysis tools
Fine-tune and evaluate LLMs such as Mistral 7B, Llama 3, and Gemma 2
Reduce inference cost by up to 90% by fine-tuning small open-source models on high-quality curated datasets
Curate high-quality datasets
Set up evaluation harness and export models easily
Discover semantic clusters in data
Auto-clustering for data curation
AI labeling/classification
Explore and curate unstructured datasets

Who is Airtrain AI for?

Tech industry professionals
Data scientists
Engineers

How to use Airtrain AI?

To use the Airtrain.AI LLM Playground, follow these steps:

Visit the Airtrain.AI website and access the LLM Playground.
Explore a wide range of open-source and proprietary LLMs available for comparison, such as Claude, Gemini, Mistral AI models, Open AI models, Llama 2, Phi-2, and more.
Utilize the no-code playground to vibe-check and compare quality, performance, and cost simultaneously across different LLMs.
Analyze data using tools for data analysis, AI coding assistants, and AI metrics evaluation.
Take advantage of the platform to fine-tune and evaluate LLMs easily without complex infrastructure work.
Customize LLMs to your specific use case, improve quality, and reduce costs significantly, as mentioned by satisfied users.
Benefit from features like Mistral 7B, Llama 3, and Gemma 2 to fine-tune models, set up evaluation harness, and export the model effortlessly.
Accelerate AI workflows by leveraging Airtrain's suite of tools for dataset curation, LLM fine-tuning, and evaluation.

By following these steps, you can effectively utilize the Airtrain.AI LLM Playground for comprehensive LLM analysis and comparison.

Pros

Reduce inference cost by up to 90% by fine-tuning small open-source models on curated datasets
Easy to fine-tune Mistral 7B, Llama 3, and Gemma models
Allows for abstracting away infrastructure work required for managing LLMs
Improve AI quality while reducing costs
Abstraction of infrastructure work for LLMs
Easy fine-tuning and evaluation process
Reduces cost by 90%
Improves quality
Abstraction of infrastructure work
No pros were explicitly mentioned in the provided document.
Cost reduction by up to 90%
Improvement in quality
Abstraction of infrastructure work needed to wrangle LLMs

Cons

The document does not provide specific cons of using Airtrain.AI LLM Playground.
No specific cons or limitations of using Airtrain.AI Llm Playground are mentioned in the provided document.
One potential con of using Airtrain.AI Llm Playground is that it may lack certain advanced features compared to other AI tools in the industry, potentially limiting its capabilities for more complex tasks.
Another con could be the pricing strategy of Airtrain.AI Llm Playground, which may not justify the value for users based on the features provided.
Additionally, users may find that the tool is missing essential functionalities commonly found in similar AI platforms, which could hinder its overall effectiveness.

Pros

Cons

Reduce inference cost by up to 90% by fine-tuning small open-source models on curated datasets
Easy to fine-tune Mistral 7B, Llama 3, and Gemma models
Allows for abstracting away infrastructure work required for managing LLMs
Improve AI quality while reducing costs
Abstraction of infrastructure work for LLMs
Easy fine-tuning and evaluation process
Reduces cost by 90%
Improves quality
Abstraction of infrastructure work
No pros were explicitly mentioned in the provided document.
Cost reduction by up to 90%
Improvement in quality
Abstraction of infrastructure work needed to wrangle LLMs

The document does not provide specific cons of using Airtrain.AI LLM Playground.
No specific cons or limitations of using Airtrain.AI Llm Playground are mentioned in the provided document.
One potential con of using Airtrain.AI Llm Playground is that it may lack certain advanced features compared to other AI tools in the industry, potentially limiting its capabilities for more complex tasks.
Another con could be the pricing strategy of Airtrain.AI Llm Playground, which may not justify the value for users based on the features provided.
Additionally, users may find that the tool is missing essential functionalities commonly found in similar AI platforms, which could hinder its overall effectiveness.

Airtrain AI FAQs

Do you use Airtrain.ai LLM Playground?: A no-code LLM playground to vibe-check and compare quality, performance, and cost at once across a wide selection of open-source and proprietary LLMs like Claude, Gemini, Mistral AI models, etc.

What is Airtrain.ai LLM Playground?: A no-code LLM playground to vibe-check and compare quality, performance, and cost at once across a wide selection of open-source and proprietary LLMs like Claude, Gemini, Mistral AI models, etc.