Meta to Release Commercial Version of AI Model to Compete with OpenAI and Google
According to insider sources, Meta is gearing up to launch a commercial version of its AI model, aiming to make AI technology more accessible and customizable. The Financial Times reported on Meta’s strategy, which follows the earlier release of their large language model (LLM) called LLaMa for researchers and academics. However, this upcoming version will be more widely available, offering greater customization options for companies.
With fierce competition from Microsoft-backed ChatGPT creator OpenAI and Google, the industry leaders, Meta is striving to assert its position in the market. Their primary objective is to challenge OpenAI’s current dominance in the AI landscape.
The anticipated commercial version of LLaMa will open up new possibilities for startups and businesses, allowing them to build tailored software and applications using Meta’s underlying AI technology.
Currently, all of Meta’s models are freely available and open-source. However, it has been reported that the company is exploring a paid version to cater to enterprise customers, although this option won’t be included in the imminent release.
In a significant move, Meta has made its LLM models open-source, publicly sharing details of the system’s operations. In contrast, competitors like OpenAI have opted to keep their code private from third parties.
Insiders reveal that Meta recognized its need to catch up with the current AI hype cycle, and this commercial version serves as a means to expand the ecosystem while demonstrating their commitment to charitable initiatives and community support.
When contacted for comments, Meta remained tight-lipped about further details.
These developments occur amidst legal challenges for Meta. Authors Sarah Silverman and two others have filed a class-action lawsuit against the company, alleging copyright infringement in the training of its AI systems.
Similarly, OpenAI faces a similar class-action lawsuit that accuses the company of data theft during the training of its AI models.
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