Question: I'm looking for a resource that provides multilingual data for training AI models, do you know of any?

If you want multilingual data to train your AI models, LAION is a good place to start. It offers several datasets, including LAION-5B with 5.85 billion multilingual CLIP-filtered image-text pairs. That can be very useful for training AI models that need to work in multiple languages. LAION also offers tools like img2dataset and Clip Retrieval to convert data and retrieve it, so researchers can concentrate on their research.

Another good choice is Clickworker, which uses a global pool of freelancers to create and validate high-quality AI training data. The company offers a range of data solutions, including computer vision, audio and NLP, and offers both self-service and managed service options. Clickworker data solutions are highly regarded for quality and reliability, so it's a good choice if you want to improve the performance of your AI systems on a range of subjects and populations.

If you want to focus on data efficiency, Baseplate is a system designed to handle Large Language Model (LLM) applications. It combines different types of data into a single hybrid database and offers automatic versioning and multimodal LLM responses. Baseplate reduces data complexity, letting developers build high-performance AI applications with efficient retrieval workflows.

Last, Dataloop is an AI development platform that handles data curation, model management and pipeline orchestration. It can handle a range of unstructured data, including images, videos and text, and offers automated preprocessing, embeddings and human feedback integration. Dataloop is designed to help teams collaborate and speed up development, so it's a good choice for AI projects.