Facebook owner Meta on Tuesday revealed that it is making a play against ChatGPT– maker OpenAI and Google, with a new and free-of-charge version of its artificial intelligence model.Notably, OpenAI and Google have developed an impressive large language model (LLM) which will serve as the foundation of the ChatGPT and Bard chatbots, which has eventually drawn excitement with their capabilities equivalent to human creativity and expertise.In the meantime, Meta has refrained from marketing generative AI products directly to end users in favour of creating Llama, a language model created especially for researchers so they could refine it.Precisely, unlike the attention-grabbing AIs created by OpenAI and Google, Llama is open-source, making its inner workings accessible to everyone to tinker with and modify.These models, including the industry-leading GPT-4 from OpenAI, are closed and proprietary, and its users cannot access their source code or in-depth explanations of how their data is handled.Taking it to his official Facebook page, Zuckerberg wrote, “Were partnering with Microsoft to introduce Llama 2, the next generation of our open source large language model. Llama 2 will be available for free for research and commercial use. Meta has a long history of open-sourcing our infrastructure and AI work — from PyTorch, the leading machine learning framework, to models like Segment Anything, ImageBind, and Dino, to basic infrastructure as part of the Open Compute Project. This has helped us build better products by driving progress across the industry. Open source drives innovation because it enables many more developers to build with new technology. It also improves safety and security because when software is open, more people can scrutinize it to identify and fix potential issues. I believe it would unlock more progress if the ecosystem were more open, which is why were open-sourcing Llama 2.”“Today were releasing pretrained and fine-tuned models with 7B, 13B, and 70B parameters. Llama 2 was pretrained on 40% more data than Llama 1 and has improvements to its architecture. For the fine-tuned models, we collected more than 1 million human annotations and applied supervised fine-tuning and reinforcement learning with human feedback (RLHF) with leading results on safety and quality,” he added.He also disclosed, “You can download these models directly, or through our preferred partnership with Microsoft you can access these models through Azure along with Microsofts safety and content tools. There is also an optimized version that you can run locally on Windows. Im looking forward to seeing what you all build!”
