If you're looking for something besides LAION, Appen has a broad platform with high-quality, diverse data for foundation models and enterprise-scale AI applications. The platform has tools for annotation, collaboration, testing, analytics and security for text, images, audio, video and geo-spatial data. It also offers flexible deployment options and is used by many big brands, so it's a good option for large-scale data collection and fine tuning.
Another big option is Hugging Face, an open-source platform with a large community for model collaboration, dataset exploration and app development. With access to more than 400,000 models, 150,000 apps and 100,000 public datasets, it's a great option for AI developers. The platform caters to a range of needs, including a free tier and enterprise features, and offers more advanced compute and inference options.
If you're more interested in data management and pipeline orchestration, Dataloop combines data curation, model management and human feedback to speed up AI application development. It handles a range of unstructured data types and has a marketplace for pre-trained models and pipelines, so it's a good option to improve collaboration and development efficiency.
Last, Meta Llama is an open-source large language model project that offers models and tools for programming, translation, dialogue generation and other tasks. With components like Meta Llama 3 and Meta Code Llama, it offers large, scalable and capable models that can be used for research and commercial projects, and it's designed to bring AI tools to more people and promote responsible development practices.