Bringing The Open Source Way To AI
Red Hat News, Tuesday, May 7th, 2024
Lost in the acronyms and abbreviations surrounding AI, from GP and GenAI to RAG and others, is one specific question: Can we truly open source AI?
How would the principles of open source, namely permissive licenses, transparent training data and weights and, perhaps most of all, the ability to contribute to an open source model impact the resulting project?
Open models do exist from many of the most notable players in AI, but they aren't open source or they impose certain restrictions.and that's a challenge. To create models that really work for specific enterprise use cases, technology organizations need to understand the full scope of a model - how it was trained, what it was trained on, who contributed to it and so on - before they even think about fine-tuning it with their own internal data.