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(JLStock/Shutterstock) One of the top reasons that companies are modernizing their data estates and moving to a centralized cloud data platform is to enable generative AI capabilities, Hakkoda says in its new study, titled “Generative AI State of Data Report.” Hakkoda, which helps companies migrate data to Snowflake and utilize generative AI technologies, surveyed about 500 senior leaders in companies in eight industries for its report (available here). The survey results indicate that, while companies are already making big investments in GenAI, there is a lot of work left to do for companies to reach their ultimate data goals. For…

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arXiv:2406.15704v1 Announce Type: new Abstract: Speech understanding as an element of the more generic video understanding using audio-visual large language models (av-LLMs) is a crucial yet understudied aspect. This paper proposes video-SALMONN, a single end-to-end av-LLM for video processing, which can understand not only visual frame sequences, audio events and music, but speech as well. To obtain fine-grained temporal information required by speech understanding, while keeping efficient for other video elements, this paper proposes a novel multi-resolution causal Q-Former (MRC Q-Former) structure to connect pre-trained audio-visual encoders and the backbone large language model. Moreover, dedicated training approaches including the diversity…

arXiv:2406.15472v1 Announce Type: new Abstract: Hyperbolic spaces have proven to be suitable for modeling data of hierarchical nature. As such we use the Poincare ball to embed sentences with the goal of proving how hyperbolic spaces can be used for solving Textual Entailment. To this end, apart from the standard datasets used for evaluating textual entailment, we developed two additional datasets. We evaluate against baselines of various backgrounds, including LSTMs, Order Embeddings and Euclidean Averaging, which comes as a natural counterpart to representing sentences into the Euclidean space. We consistently outperform the baselines on the SICK dataset and are second…