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OpenAI Draws Major Funding from Tiger Global and Industry Giants

OpenAI's funding round attracts top-tier investors amid AI surge. Credit: Solen Feyissa/Unsplash

In a significant development for the AI sector, OpenAI is poised to receive substantial investments from key players like Tiger Global Management. The funding round highlights the increasing demand for sophisticated generative AI solutions as companies seek to stay ahead in a competitive market.

Tiger Global Joins Funding Round

According to The Information, which cited sources familiar with the situation, Tiger Global Management, a venture capital firm, intends to take part in OpenAI's multi-billion-dollar investment round. This round may put the ChatGPT developer's valuation at $150 billion.

A widespread interest in generative artificial intelligence has been sparked as a result of the rapid rise in popularity of OpenAI, as firms are racing to capitalize on the technology in order to improve their goods, as reported by Reuters.

Leading Investors in Talks

According to Channel News Asia, the report listed Tiger as one of several prominent investors who are in talks to join Thrive Capital, Microsoft, Nvidia, Apple, and Abu Dhabi AI investment firm G42 in the funding round. Khosla Ventures is also reportedly in the mix.

The information suggests that Josh Kushner's Thrive Capital intends to make a commitment of one billion dollars and will allegedly head the investment round.

Sam Altman Expands Funding Efforts

According to Bloomberg News, an artificial intelligence business run by Sam Altman is seeking an additional $5 billion in loans from banks through a revolving credit facility, in addition to garnering $6.5 billion from investors.

In response to requests for comment made by Reuters, neither OpenAI nor Tiger Global Management provided an immediate response.

Launch of 'Strawberry' AI Models

Recently, the firm made an announcement regarding the launch of its "Strawberry" series of artificial intelligence models. These models are intended to spend more time processing responses to queries in order to efficiently tackle complicated problems.

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