Alex Watson
Fine-tune a MPT-7B LLM with Gretel GPT
Learn how to fine-tune and prompt mpt-7b to generate responses matching popular Twitter personalities with Gretel GPT.
Read more...Conditional Text Generation by Fine Tuning Gretel GPT
Augment machine learning datasets with synthetically generated text and labels using an open-source implementation of GPT-3.
Read more...Unlocking Adapted LLMs on Enterprise Data
Gretel GPT supports new, state-of-the-art LLMs, and makes it easier for you to trust the privacy and accuracy of LLMs for enterprise use-cases.
Read more...Scale Synthetic Data to Millions of Rows with ACTGAN
Discover how Gretel ACTGAN can help businesses generate synthetic data at scale with improved accuracy, faster training, and reduced memory requirements.
Read more...Automate Detecting Sensitive Personally Identifiable Information (PII)
Use Gretel.ai's APIs to continuously detect and protect sensitive data including credit cards, credentials, names, and addresses.
Read more...How to Generate Synthetic Data: Tools and Techniques to Create Interchangeable Datasets
Synthetic data is algorithmically generated data that mirrors the statistical properties of the dataset it’s based on. Learn how to make high-quality synthetic data.
Read more...Creating Synthetic Time Series Data for Global Financial Institutions – a POC Deep Dive
How we generated high-quality synthetic time-series data for one of the largest financial institutions in the world.
Read more...Generate synthetic data in 3 lines of code
Learn the simplest way to generate synthetic data without setting up your own infrastructure and GPUs.
Read more...Data Is More Valuable When It Can Be Shared
Today, we are thrilled to announce the general availability of Gretel's privacy engineering APIs and services.
Read more...Conditional data generation in 4 lines of code
Augment or balance your ML datasets in minutes with state-of-the-art generative models.
Read more...