The ChatGPT-rival from Anthropic, Claude AI, can now read a book with roughly 75,000 words in just a few seconds.
This is a significant advancement for chatbots as companies look for technologies that can swiftly process vast amounts of data.
Claude AI Boosting Efficiency for Businesses
Since ChatGPT’s debut, organizations like Bloomberg and JP Morgan Chase have also sought to use AI to better understand the financial sector.
They have spent at least a few months on this procedure, but Anthropic can speed it up to only take a few seconds thanks to its Claude AI.
A token is a word fragment that is used in computing to speed up data processing. A large language model (LLM) has a limited amount of short-term memory-like processing capacity known as a context window.
100,000 tokens may be read by the typical person in around five hours. Nevertheless, this simply accounts for the time needed to read the tokens; more time may be required if one also needs to recall and interpret this data.
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This AI Chatbot understands good and evil
With artificial intelligence (AI) frequently producing fake and offensive content, Anthropic, a firm run by former OpenAI researchers, is taking a different approach by creating an AI that can distinguish between good and evil with little to no human involvement.
Anthropic’s chatbot Claude is designed with a particular constitution, a set of rules inspired by the Universal Declaration of Human Rights, to ensure moral behavior together with great functionality, in addition to current ethical standards like Apple’s requirements for app developers.
Therefore, the idea of a constitution could be more symbolic than actual.
One of Anthropic’s founders and a former OpenAI consultant, Jared Kaplan, told Wired that Claude’s constitution might be seen as a particular collection of training parameters that any trainer would use to create its AI.
This suggests a distinct set of guidelines for the model, which more closely matches its behavior with its principles and inhibits activities thought to be harmful.
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