Yesterday’s release of Meta’s LLaMA 2, under a commercial license, was undoubtedly an open-source AI mic drop. But startup Together, known for creating the RedPajama dataset in April, which replicated the LLaMA dataset, had its own big news over the past couple of days: It has released a new full-stack platform and cloud service for developers at startups and enterprises to build open-source AI — which, in turn, serves as a challenge to OpenAI when it comes to targeting developers.

The company, which already supports more than 50 of the top open-source AI models, will also support LLaMA 2.

Founded last year by Vipul Ved Prakash, Ce Zhang, Chris Ré and Percy Liang, Together says it is “on a mission to make AI models more open and accessible in a market where Big Tech players are currently leading innovation.” The Menlo Park, California-based startup announced in May that it had raised $20 million in a seed funding round to build open-source generative AI and a cloud platform.

“There is a clear debate between open-source and closed systems, and now there is an open-source ecosystem that is getting stronger,” Prakash told NeuralNation, explaining that the company is increasingly seeing enterprises move towards open source because of a desire for data privacy. And now, “there’s more adoption of open-source models because open-source models are getting stronger.”

Recently, a prominent group of AI researchers and industry leaders unveiled a groundbreaking new open-source AI full-stack platform designed to rival OpenAI. This platform, known as the LLaMA 2, is a cross-industry framework that enables end-to-end development of AI applications and services. This new platform is designed to bridge the gaps in existing open-source AI development solutions, providing a comprehensive development environment that supports high-level application development, custom components, and services.In addition to providing the latest frameworks and technologies, the platform also provides the necessary components to develop a wide range of AI services. This includes deep learning, reinforcement learning, natural language processing, and computer vision components. It also seeks to provide an intuitive user interface for working with these components. With its modular design, the platform allows developers to easily create and share customizations with other users.

The platform also provides support for both traditional and alternative hardware architectures. This makes it possible for developers to deploy AI applications and services on a wide range of hardware. The platform is powered by the popular open-source ML framework, TensorFlow, and provides integration with Google Cloud Platform.

The LLaMA 2 platform has been designed to provide a feature-rich, extensible and open framework for building and deploying AI applications and services quickly and easily. Furthermore, the developers behind the project have stated that their goal is to make it easier for developers of all skill levels to develop AI applications. This will ultimately reduce the costs involved in developing AI applications and services.

The platform is still in its early stages and more features and components are expected to be added in the coming months. The developers behind the project believe that the LLaMA 2 platform will become the new standard for developing AI applications and services. With the new platform’s support for a wide range of hardware architectures and integration with Google Cloud services, many developers are excited to explore the capabilities of the LLaMA 2 offering.

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