Meta and Microsoft have announced their collaboration at Microsoft Inspire to introduce support for the Llama 2 family of large language models (LLMs) on Azure and Windows. Llama 2, developed by Meta, empowers developers and organizations to build AI-powered tools and experiences.
What is Llama 2 and why is it important?
Llama 2 is the next generation of Meta’s open source large language model, which is designed to enable natural language understanding and generation at scale. Llama 2 is based on the Transformer architecture and has been trained on a large corpus of text from the web. Llama 2 can perform various natural language tasks, such as answering questions, summarizing texts, generating texts, and conversing with humans.
Llama 2 is important because it represents a significant advancement in the field of generative AI, which has the potential to transform various industries and domains. Generative AI can help create new forms of content, such as stories, poems, songs, images, and videos. It can also help augment human creativity and productivity, such as by providing suggestions, feedback, and insights.
How does Meta and Microsoft’s partnership benefit developers and users?
Meta and Microsoft share a commitment to democratizing AI and its benefits. By making Llama 2 available openly and freely for both research and commercial use, they aim to foster innovation and collaboration in the AI community. Developers and researchers can access Llama 2 easily and safely on Azure, the platform for the most widely adopted frontier and open models. Azure provides powerful tools for model training, fine-tuning, inference, and safety. Users can also run Llama 2 locally on Windows, which supports a seamless workflow for building generative AI experiences using world-class tools like Windows Subsystem for Linux (WSL), Windows terminal, Microsoft Visual Studio and VS Code.
What are some examples of applications powered by Llama 2?
Llama 2 has already been used by various developers and organizations to create innovative applications powered by generative AI. Some examples are:
- Meta Studio: A web-based platform that allows users to create interactive stories using natural language commands. Users can choose from different genres, characters, settings, and plot elements, or create their own. Meta Studio uses Llama 2 to generate coherent and engaging narratives based on the user’s input.
- Microsoft Power Fx: A low-code programming language that enables users to build apps using natural language expressions. Power Fx uses Llama 2 to translate natural language queries into formulas that can manipulate data and logic. Power Fx also provides suggestions and corrections based on the user’s intent.
- Microsoft Word: A word processor that helps users write better documents. Word uses Llama 2 to provide writing assistance features, such as grammar checking, spelling correction, style improvement, and readability analysis. Word also uses Llama 2 to generate summaries, outlines, captions, and citations for the user’s documents.
How can I get started with Llama 2?
If you are interested in using Llama 2 for your own projects or experiments, you can get started by visiting the official website of Llama 21, where you can find more information about the model, its capabilities, its limitations, its license, and its code. You can also find tutorials, examples, documentation, and community resources to help you learn how to use Llama 2 effectively.
You can also access Llama 2 through Azure or Windows platforms. To use Llama 2 on Azure2, you need to have an Azure account and subscription. You can then use Azure Machine Learning or Azure Cognitive Services to fine-tune and deploy Llama 2 models for your specific use cases. To use Llama 2 on Windows3, you need to have Windows 10 or later version installed on your device. You can then use the ONNX Runtime with the DirectML execution provider to run Llama 2 models locally on your device.
We hope this article has given you an overview of Meta and Microsoft’s partnership with the launch of Llama 2. If you have any questions or feedback, please feel free to contact us or leave a comment below.