Apple, known for its secretive approach, has released OpenELM, a family of small language models designed for memory-constrained devices. These models outperform others of similar size and are resource-efficient, using techniques like Flash Attention and non-uniform structure. Apple’s open release of OpenELM, including model weights and training logs, aims to empower the research community and corner the on-device AI market. Apple’s control over hardware and software optimization gives it an edge in on-device inference, attracting developers to create applications for the Apple ecosystem. However, competition from companies like Microsoft, which is also investing in small language models, poses a challenge. The future of the generative AI market remains uncertain, with potential for parallel markets and multiple dominant companies.
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