Cohere allows developers and enterprises to build LLM-powered applications. We do that by creating world-class models, and the supporting platform to deploy them securely and privately.
Command is Cohere’s text generation LLM which powers conversational agents, summarization, copywriting, and similar use cases. It works through the following endpoints:
co.chatis used to build conversational agents, with or without RAG
co.summarizeis used for long-text summarization
Click here to learn more about Cohere’s foundational models.
Try Coral to see what an LLM-powered conversational agent can look like. It is able to converse, summarize text, and write emails and articles.
Our goal, however, is to enable you to build your own LLM-powered applications. The Chat endpoint, for example, can be used to build a conversational agent powered by the Command model.
“Grounding” refers to the practice of allowing an LLM to access external data sources – like the internet or a company’s internal technical documentation – which leads to better, more factual generations. Coral is being used with grounding enabled in the screenshot below, and you can see how accurate and information-dense its reply is.
What’s more, Coral’s advanced RAG capabilities allow you to see what underlying query the model generates when completing its tasks, and its output includes citations pointing you to where it found the information it uses. Both the query and the citations can be leveraged alongside Cohere’s Embed and Rerank models to build a remarkably powerful RAG system, such as the one found in this guide.
Click here to learn more about Cohere’s serving platform.
Embeddings enable you to search based on what a phrase means rather than simply what keywords it contains, leading to search systems that incorporate context and user intent better than anything that has come before.
Learn more about semantic search here.
To create a fine-tuned model, simply upload a dataset and hold on while we train a custom model and then deploy it for you. Fine-tuning can be done with generative models, chat models, rerank models, and multi-label classification models.
You can connect to the Cohere API directly, or access the models privately on the four major cloud providers.
We hope this overview has whetted your appetite for building with our generative AI models. Reach out to us on Discord with any questions or to showcase your projects – we love hearing from the Cohere community!
Updated 4 days ago