•Arbiter AI

Large language models (LLMs) are a game changer not just for developers, but for everyone. These models enable us to build applications and systems that were previously beyond our reach. However, to truly unlock the potential of LLMs, we need to combine them with other sources of computation or data. At Arbiter, we are passionate about the potential of large language models. Learn about our upcoming plans by checking out our Roadmap.

•Text-To-Integration

If you want Arbiter to create an HTTP connector for you, simply say something like: "Create a record in Airtable with fields for name, status, and priority." Arbiter will automatically generate the connector, which will be ready for use in the workflows.

•Code generation

Function processors are a crucial component that distinguishes our platform as a low-code solution rather than a no-code one. This feature makes Arbiter highly versatile compared to other low/no-code solutions, but creating custom functions can be a complex and time-consuming task for non-developers. To address this issue, we developed the Arbiter AI function builder, which enables you to generate code from natural language descriptions, reducing the need for extensive coding expertise.

•Current limitations of Arbiter AI

AI has made significant progress in recent years, but it still has its limitations, and the field is constantly evolving. There are various factors that can contribute to these limitations, including narrow inputs, systemic biases, limited quantities or poor quality of training and test data. It's worth noting that these limitations are not comprehensive and can vary depending on the specific application of AI. As a consequence, Arbiter AI:

• may output incorrect information.
• may output harmful content when prompted.
• may contain bias and output biased responses. Learn more about AI bias →