Court orders OpenAI to Retain Data
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Datasaur’s LLM Labs is the Custom LLM development platform integrated with Amazon Bedrock. It allows you to test and fine-tune over 200 foundation models, matching the right model to your specific project. This integration enables you to deploy scalable, reliable, and secure AI applications using Amazon Web Services, ensuring optimal performance for your AI projects.
Datasaur is the industry leader in building, launching and developing production-grade LLM+NLP solutions.
Our Amazon Bedrock integration helps organizations maximize AI potential while controlling costs and performance. Datasaur's LLM Labs equips businesses of all sizes with tools to excel in AI, significantly reducing project expenses.
Expanding your LLM options can cut costs by up to 70%
Match the best model to each project
Avoid the limitations and high costs of single-vendor solutions
Compare for quality, speed, and cost
Switch easily between LLMs like Claude 3.5 Sonnet, Llama 3, and GPT-4o for different projects
Enjoy flexibility, optimal performance, and protection from model drift
GDPR-ready, SOC2 Type II certified, HIPAA-compliant
Ensure your non-public data stays private and your output stays proprietary and compliant
Easily deploy in your own virtual private cloud to prevent data leakage
Data labeling represents 65% of the time for NLP & LLMs project. Enhance speed and accuracy with the best data labeling platform, enabling engineers to concentrate on creating top-notch models.
Generic labeling leads to generic models. Customize your labeling set up to create the data you need to elevate your models.
Errors are inevitable in data labeling, but that doesn't mean they are easily found. Quality data leads to equality models, catch the issues at source.
Data labeling is manual work, but it doesn't have to be. Automate tasks that are oft-repeated.
Datasaur automatically fits into your existing workflows with automatic project creation and export, API access to plug in your existing model, object storage (AWS, GCP, etc.) and much more.
Get a feel for how easy labeling can be with this example of NER token-based labeling in the Datasaur Playground.
We [Consensus] had a very complex and specific set of annotation needs. Datasaur was able to address those needs efficiently and effectively.
Information labeling tasks has been reduced by 80% which has allowed us to optimize our workflow much more, allowing us to focus on other areas that are also priorities for us.
"We looked at Prodigy, LightTag, LabelBox, Scale and more. You really can't beat Datasaur for their suite of features and price point."
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