Anthropic Releases Updated Version of Text-Generating AI Model, Claude Instant


Improvements in Math, Coding, Reasoning, and Safety

Anthropic, the AI startup co-founded by ex-OpenAI executives, has launched Claude Instant 1.2, an updated version of its text-generating model. The new version incorporates the strengths of the company’s flagship model, Claude 2, and has shown significant gains in areas like math, coding, reasoning, and safety. In tests, Claude Instant 1.2 scored 58.7% on a coding benchmark and 86.7% on a set of math questions, outperforming its predecessor.

Enhanced Performance and Functionality

Claude Instant 1.2 generates longer and more structured responses, while also improving in quote extraction, multilingual capabilities, and question answering. Moreover, it is less likely to produce incorrect or nonsensical text and is more resistant to jailbreaking attempts, a technique used to bypass safety features in large language models.

Context Window Increases Model Performance

Claude Instant 1.2 features a context window of 100,000 tokens, the same size as Claude 2. A larger context window ensures that the model retains the content of recent conversations, reducing the likelihood of forgetting important information. Both Claude Instant 1.2 and Claude 2 can analyze approximately 75,000 words, equivalent to the length of “The Great Gatsby.”

Competition with OpenAI and Other Startups

Anthropic’s Claude Instant is designed to compete with similar entry-level offerings from OpenAI, Cohere, AI21 Labs, and other startups in the text-generating AI space. The company aims to build a next-generation algorithm for AI self-teaching, which could be used to create virtual assistants capable of answering emails, performing research, and generating art and books.

Progress Towards Ambitious Goals

Since its launch in 2021, Anthropic has raised $1.45 billion in funding. However, the company estimates it will need $5 billion over the next two years to develop its envisioned chatbot. Anthropic has already secured thousands of customers and partners, including Quora, DuckDuckGo, and Notion, integrating its AI models into various applications and platforms.

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About Author

Teacher, programmer, AI advocate, fan of One Piece and pretends to know how to cook. Michael graduated Computer Science and in the years 2019 and 2020 he was involved in several projects coordinated by the municipal education department, where the focus was to introduce students from the public network to the world of programming and robotics. Today he is a writer at Wicked Sciences, but says that his heart will always belong to Python.