Google-backed Anthropic launches ChatGPT rival Chatbot Cloud

To challenge OpenAI’s authority on the artificial intelligence space, Google-backed Anthropic has released its AI Chatbot Cloud. Anthopik was co-founded by ex-OpenAI employees Dario and Daniela Amodei and recently received $400 million in funding from Google.

In a blog post announcing Cloud’s launch, Anthropic said, “Cloud is the next generation AI assistant, based on Anthropic’s research into training AI systems that are helpful, honest, and harmless.”

“The cloud is capable of performing a wide variety of conversational and text processing tasks while maintaining a high degree of reliability and predictability,” the Google-backed startup said.

Read also: All you need to know about Visual ChatGPT

Claude ChatGPT can do many things like writing blog posts, jotting down text, answering emails, coding etc. , The tone, personality and behavior of the chatbot can also be changed to match the needs of the users.

similar to chatgptThe cloud cannot access the internet and has been trained on data until spring 2021.

However, Anthropic has taken a more theoretical approach to its AI chatbot known as ‘constitutional AI’. The cloud has been trained on a large body of data which gives it the ability to avoid potentially dangerous topics based on its theories and even go to the extent of recognizing its own biases.

Prior to its launch, Cloud had partnered with various companies to test its technology. Most prominently, Quora is using the cloud to power its AI chatbot app duckduckgo Using Cloud in conjunction with ChatGPT to summarize text from Wikipedia. Productivity app Notion is also using Anthropic’s technology to power its Notion AI.

Cloud also suffers from many of the same problems as ChatGPT and Microsoft’s Bing Chat, such as hallucinations and users being able to bypass the chatbot’s security features through clever commands.

News agency Bloomberg also quoted Anthropic CEO Dario Amodei as admitting that their chatbot can sometimes make things similar to other language models. He said, “I don’t want to say that all the problems have been solved… I think all these models, including ours, they hallucinate sometimes, they make things up sometimes.”

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