Coral is private. Companies that want to take advantage of business-grade chatbots must have them deployed in a private environment. The data used for prompting, and the Coral's outputs, will not leave a company's data perimeter. Cohere will support deployment on any cloud.
AI
-
Cohere Launches Coral AI in Private Access Program
By
–
Coral is currently in private access with a select group of customers. If you're interested in participating in the program, talk to our team below. https://
cohere.com/coral-contact?
utm_source=twitter&utm_medium=social&utm_campaign=coral-announce
… -
Coral AI Platform: 100+ Data Integrations for Enterprise
By
–
Coral is customizable. Customers can augment Coral's knowledge base through data connections. Coral has 100+ integrations to connect to data sources important to your business across CRMs, collaboration tools, databases, search engines, support systems, and more.
-
Coral grounds AI responses with source citations
By
–
Coral is grounded. Workers need to understand where information is coming from. To help verify responses, Coral produces citations from relevant data sources. Our models are trained to seek relevant data based on a user's need (even from multiple sources).
-
Data Framework for Connecting Custom Sources to LLMs Launch
By
–
Very interested and excited to see this launch This type of data framework for connecting custom data sources to LLMs is exactly what's needed
-
Hiera: Hierarchical Vision Transformer without Bells-and-Whistles
By
–
Hiera: A Hierarchical Vision Transformer without the Bells-and-Whistles https://
bit.ly/3OrVBW3 6/7 -
ICML 2023 Papers and Team Workshop Connections
By
–
Bonus: Want to see more of our ICML papers? Or where you can connect with our team at workshops if you're at the conference? More info on our #ICML2023 page https://
bit.ly/452XCgZ 7/7 -
ELSA: Efficient Label Shift Adaptation Semiparametric Models
By
–
ELSA: Efficient Label Shift Adaptation through the Lens of Semiparametric Models https://
bit.ly/43EbRHU 2/7 -
Learnable Reward-Mixing MDPs with Few Latent Contexts
By
–
Reward-Mixing MDPs with Few Latent Contexts are Learnable https://
bit.ly/3KzS4Tt 3/7 -
Masked Trajectory Models for Prediction, Representation, and Control
By
–
Masked Trajectory Models for Prediction, Representation, and Control https://
bit.ly/43EMc1N 4/7