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DeepSeeking the Truth By now, the world knows all about DeepSeek, the Chinese AI company touting how it used inferenceengines and statistical reasoning to train large language models much more efficiently and with less cost than other firms have trained their models. million to train its R1 model.
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Models like Video-ChatGPT and Video-LLaVA focus on spatial and temporal pooling mechanisms to condense frame-level information into smaller tokens. Without a solution, tasks requiring real-time or large-scale video processing become impractical, creating a need for innovative approaches that balance efficiency and accuracy.
Image source) There has been a drastic increase in number of generative AI products since the debut of ChatGPT in 2022. Last Updated on July 3, 2024 by Editorial Team Author(s): Suhaib Arshad Originally published on Towards AI.
Previous attempts to improve VLM performance have primarily focused on Reinforcement Learning from Human Feedback (RLHF) techniques, which have successfully enhanced language models like ChatGPT and LLaMA 3. If you like our work, you will love our newsletter. Don’t Forget to join our 55k+ ML SubReddit.
Serving as a high-performance inferenceengine, ONNX Runtime can handle machine learning models in the ONNX format and has been proven to significantly boost inference performance across a multitude of models. Our Models Hub now contains over 18,000+ free and truly open-source models & pipelines.
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