Meta, formerly known as Facebook, is about to release a commercial version of LLaMAits open source large language model (LLM) uses artificial intelligence (AI) to generate text, images, and code.
LLaMA, which stands for Large Language Model Meta AI, was publicly announced in February as a small platform model and made available to researchers and academics.
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Now, Financial Times is reporting that Meta is preparing to release a commercial version of the model, which will allow developers and businesses to build applications using the platform model.
Because it is open source AI technology, commercial access to LLaMA gives businesses of all sizes the opportunity to adapt and improve AI, drive technological innovation in different sectors, and have potentially leading to more robust models.
Meta’s LLaMA is available in 7, 13, 33 and 65 billion parameters, compared to ChatGPT LLM, GPT-3.5, has been confirmed to have 175 billion parameters. OpenAI has not revealed how many parameters GPT-4 yes, but it’s estimated to have over 1 trillion parameters — the more parameters, the better the model understands the input and generates the appropriate output.
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Currently, OpenAI leads the AI race, with ChatGPT As its sprinter, an AI chatbot ushered in an overall AI revolution when it was released in November. Microsoft invested heavily in OpenAI. The tech giant uses GPT-4 technology in the improved, AI-powered Bing to power its Visualizer. Google has its own AI chatbot, Bardand exclusive LLMs. None of these systems are open source.
While open source AI models already exist, the commercial launch of Meta’s LLaMA is still an important step, due to it being larger than many open source LLMs currently on the market and the fact that it comes from one of the biggest tech companies. In the world.
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The launch means that Meta is in direct competition with Microsoft-backed OpenAI and Google, and that competition could yield significant advances in the field of AI. Closed or proprietary software, like that used in OpenAI’s ChatGPT, may draw criticism on transparency and security.
