Data is the key to success - whether you're building your own models or applying foundation models to your business

0Pre-training
1Fine-tuning
2RLHF
3Evaluation

AONData's Inputs

Initial dataset collection
Dataset cleaning

Required Data

Large data corpora from internet data or elsewhere

Trillions of words

AONData's Inputs

Generating prompts and instructions
Moderating and categorizing prompts and instructions
Generating responses to prompts and instructions
Prompt-answer verification (truthfulness, hallucinations)

Required Data

Small high-quality dataset with ideal requests and responses

Approx. 100K data points

AONData's Inputs

Comparing outputs (side-by-side or ranking)
Generating prompts and instructions

Required Data

Small high-quality dataset with comparisions of model outputs

Up to 1M data points
Small hight-quality dataset with ideal requests and responses

Up to 100K data points

AONData's Inputs

Prompt engineering
Human evaluation of model quality
Moderation of model output

Required Data

Continuous

Engineered for real-world AI

AONData supports a community of data scientists, ML engineers, researchers, and AI innovators around the global to accelerate machine learning with better data processes.

AONData offers best in class expertise in fine tuning and evaluation of language models

Fine-tuning the model

Build safe and accurate language applications with high-quality custom data.
Easy access to multi-language data with our global crowd
Domain-specific expertise with highly skilled annotators (Mathematics, Programming, Linguistics etc.)
Need fine tuning for your model?

RLHF

Get instant feedback from annotators to retrain the model
Rely on our experience with complex labeling pipelines for exceptional speed and accuracy
Collect feedback via live human interaction with the model
Use negative examples in your model training
Improve your language model with continual human feedback

Model evaluation

Continuous model evaluation is essential for consistent performance.
Monitor quality in production applications
Obtain unbiased feedback for model improvement

Quality metrics for your LLM

LLM output can be challenging to evaluate. NPS surveys and other user feedback risk introducing bias.
Rely on our industry experience with offline evaluation to create custom quality metrics
Make metrics-based decisions before releasing new model versions
Get better accuracy from your ML model

Accelerate time-to-value for your LLM

Designed by engineers for engineers
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