AI startup Cohere unveils new Chat API and Coral demo chatbot for seamless integration

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AI startup Cohere is taking on competitors like OpenAI with the release of its new Chat API and Coral demo chatbot. The Chat API allows developers to integrate Cohere’s large language model, Command, into their own applications, making it easier to build knowledge assistants and customer support chatbots. The API’s Retrieval-Augmented Generation (RAG) capability gives developers control over the data sources used by the chatbot for specific prompts, improving accuracy and relevance. Cohere also unveiled its chatbot, Coral, which can now be tested by users through the Coral Showcase. Although Coral’s response times were slower than OpenAI’s ChatGPT, its responses were accurate and supported by cited sources. Developers can enhance their chatbots through modular components provided by Cohere, such as the query-generation and document components. Cohere’s models, including Command LLM, are powered by Transformers, a type of neural network optimized for text processing. Cohere’s CEO, Aidan Gomez, co-authored an academic paper on Transformers and believes they will become more capable in the future. Cohere’s models can also be fine-tuned by training them on proprietary datasets. The startup is recognized as a major rival to OpenAI and aims to deliver sophisticated AI models for various applications.

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Frequently Asked Questions (FAQs) Related to the Above News

What is Cohere?

Cohere is an AI startup that specializes in developing and providing advanced language models for various applications.

What is Cohere's new release?

Cohere has recently released its Chat API and Coral demo chatbot.

What does the Chat API offer?

The Chat API allows developers to integrate Cohere's large language model, Command, into their own applications, enabling the building of knowledge assistants and customer support chatbots.

How does the Chat API enhance accuracy and relevance?

The API incorporates Retrieval-Augmented Generation (RAG) capability, which lets developers control the data sources used by the chatbot for specific prompts. This improves accuracy and relevance of the chatbot responses.

What is Coral in relation to Cohere?

Coral is a chatbot developed by Cohere, and it is now available for users to test through the Coral Showcase.

How does Coral compare to OpenAI's ChatGPT?

While Coral's response times may be slower than OpenAI's ChatGPT, its responses are accurate and supported by cited sources.

How can developers enhance their chatbots using Cohere's components?

Cohere provides modular components, such as query-generation and document components, which developers can use to enhance their chatbots.

What technology powers Cohere's models?

Cohere's models, including Command LLM, are powered by Transformers, a type of neural network optimized for text processing.

Can Cohere's models be fine-tuned?

Yes, Cohere's models can be fine-tuned by training them on proprietary datasets.

Who is the CEO of Cohere and what is his background?

Cohere's CEO is Aidan Gomez, who co-authored an academic paper on Transformers. He believes that Transformers will become even more capable in the future.

How is Cohere positioned in the market?

Cohere is recognized as a major rival to OpenAI and aims to deliver sophisticated AI models for various applications.

Please note that the FAQs provided on this page are based on the news article published. While we strive to provide accurate and up-to-date information, it is always recommended to consult relevant authorities or professionals before making any decisions or taking action based on the FAQs or the news article.

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