daios
About daios
Daios develops a values engine that fine-tunes large language models (LLMs) using curated datasets, allowing users to select the ethical values that influence model behavior. This approach enhances user agency and transparency, addressing the need for AI systems that reflect diverse individual ethical frameworks while providing clear information about training data sources.
<problem> Large language models (LLMs) often lack alignment with specific ethical values, leading to outputs that may not reflect individual user preferences or societal norms. This misalignment can erode user trust and limit the adoption of AI systems in sensitive applications. </problem> <solution> Daios offers a values engine that fine-tunes LLMs using curated datasets, enabling users to select the ethical values that influence model behavior. This approach allows for the creation of AI systems that are personalized to reflect diverse individual ethical frameworks. Daios also provides a data card feature, which offers transparency by providing non-technical users with clear information about the data used to train the AI model. By enhancing user agency and providing transparency, Daios aims to build trust in AI systems. </solution> <features> - Fine-tunes LLMs with ethical values selected by users. - Works with major open and closed-source models. - Offers a data card feature that communicates essential details of the AI system, including the base model, how data influences AI behavior, and edge cases. - Verifies the source and consensual use of training data by a third party. </features> <target_audience> Daios targets organizations and developers building AI systems who want to align their models with specific ethical values and enhance user trust through transparency. </target_audience> <revenue_model> Daios offers subscription-based and usage-based pricing models. </revenue_model>
What does daios do?
Daios develops a values engine that fine-tunes large language models (LLMs) using curated datasets, allowing users to select the ethical values that influence model behavior. This approach enhances user agency and transparency, addressing the need for AI systems that reflect diverse individual ethical frameworks while providing clear information about training data sources.
Where is daios located?
daios is based in San Francisco, United States.
When was daios founded?
daios was founded in 2023.
- Location
- San Francisco, United States
- Founded
- 2023 0