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Recently, H2O.ai announced the launch of two new visual language models aimed at enhancing the efficiency of document analysis and optical character recognition (OCR) tasks. The two models, H2OVL Mississippi-2B and H2OVL-Mississippi-0.8B, demonstrate remarkable competitiveness compared to models from large tech companies, potentially offering businesses dealing with heavy document workflows a more efficient solution.

At the Volcano Engine AI Innovation Roadshow in Shanghai on August 21, 2024, Volcano Engine showcased a comprehensive upgrade of the Doubao Large Model. This includes the Doubao Text-to-Image Model, which has improved text and image matching capabilities for long texts, the Doubao Speech Recognition Model, which reduced error rates by up to 40% across multiple public test sets, and upgrades to the Doubao Speech Synthesis Model, enhancing streaming speech synthesis abilities for real-time responses and accurate punctuation. Volcano Engine also released a real-time interactive solution for Conversational AI, integrating the Doubao Large Model with real-time audio and video technology, providing end-to-end capabilities.

Apple and researchers from the Swiss Federal Institute of Technology (EPFL) have jointly developed a single model that can handle arbitrary-to-arbitrary modalities. This model can be trained on dozens of highly diverse modalities and perform joint training on large-scale multimodal datasets and text corpora. Named 4M-21, it is trained on 21 different modalities, completing at least three times more tasks than existing models without losing performance.