Llama 2 is an open-source large language model developed by Meta that offers double the context length of its predecessor, Llama 1. The model is available for both research and commercial use and has been pretrained and fine-tuned on 2 trillion tokens and over 1 million human annotations, respectively. Llama 2 outperforms other open-source language models in various external benchmarks, including reasoning, coding, proficiency, and knowledge tests.
To ensure the responsible use of Llama 2, Meta has established partnerships with cloud providers, companies, and researchers who support their open approach. They also provide resources such as a Responsible Use Guide for developers, safety red-teaming to enhance performance and safety, an Open Innovation AI Research Community for academic researchers, and the Llama Impact Challenge to encourage using Llama 2 to address environmental and educational challenges.
In addition, Meta maintains a Generative AI Community Forum, in consultation with Stanford Deliberative Democracy Lab and the Behavioral Insights Team, to involve the community in decision-making around generative AI technologies. Users can access Llama 2 by completing a download form, agreeing to Meta's privacy policy. Additional resources, including a technical overview, research paper, and blog post, provide more information on Llama 2 and its responsible use.
Overall, Llama 2 is a powerful tool for researchers and developers who want to build AI models that can understand and generate human-like language. By leveraging publicly available online data sources and over 1 million human annotations, Llama 2 offers a more robust and accurate language model than its predecessor. With its open-source nature and responsible use guidelines, Llama 2 has the potential to drive innovation in the field of natural language processing while ensuring the safety and ethical use of AI technologies.
In conclusion, Llama 2 is an impressive open-source language model that offers a range of features and capabilities for researchers and developers. By leveraging publicly available data sources and human annotations, Llama 2 offers a more robust and accurate language model than its predecessor. Meta's commitment to responsible use and ethical innovation in the field of AI is a positive step towards ensuring the safe and ethical use of AI technologies in the future.
