LiquidAI launched LFM2.5-VL-DSpark on September 24, 2026, a vision-language model that accelerates training from 20 days to 3 days while improving computational efficiency by 20 percent. The tool features enhanced data integration, reduced latency, energy efficiency, and expert-curated datasets, with GDPR compliance and developer APIs to democratize access to advanced AI for healthcare, finance, and other industries.
Apple's LensVLM-9B is a Vision-Language Model framework that maintains text recognition accuracy in compressed images by selectively expanding relevant regions using learned tools, achieving 4.3x compression while matching full-text performance on text QA benchmarks.
RADAR is a generalist vision-language model trained on over 400,000 contrast-enhanced abdominal CT examinations with 15 million image-text pairs, achieving expert-level performance for radiology diagnosis without manual annotation. The model is available with pre-trained checkpoints on HuggingFace and is released under the Apache License 2.0.