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Researchers at Stanford Introduce Gisting: A Novel Technique for Efficient Prompt Compression in Language Models Nathalie Crevoisier Artificial Intelligence Category – MarkTechPost

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​ Model specialization involves adapting a pre-trained machine-learning model to a specific task or domain. In Language Models (LMs), model specialization is crucial in improving their performance in various tasks like summarization, question-answering, translation, and language generation. The two main processes to specialize a language… Read More »Researchers at Stanford Introduce Gisting: A Novel Technique for Efficient Prompt Compression in Language Models Nathalie Crevoisier Artificial Intelligence Category – MarkTechPost

Researchers at Stanford Introduce Gisting: A Novel Technique for Efficient Prompt Compression in Language Models Nathalie Crevoisier Artificial Intelligence Category – MarkTechPost

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​ Model specialization involves adapting a pre-trained machine-learning model to a specific task or domain. In Language Models (LMs), model specialization is crucial in improving their performance in various tasks like summarization, question-answering, translation, and language generation. The two main processes to specialize a language… Read More »Researchers at Stanford Introduce Gisting: A Novel Technique for Efficient Prompt Compression in Language Models Nathalie Crevoisier Artificial Intelligence Category – MarkTechPost

Researchers at Stanford Introduce Gisting: A Novel Technique for Efficient Prompt Compression in Language Models Nathalie Crevoisier Artificial Intelligence Category – MarkTechPost

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​ Model specialization involves adapting a pre-trained machine-learning model to a specific task or domain. In Language Models (LMs), model specialization is crucial in improving their performance in various tasks like summarization, question-answering, translation, and language generation. The two main processes to specialize a language… Read More »Researchers at Stanford Introduce Gisting: A Novel Technique for Efficient Prompt Compression in Language Models Nathalie Crevoisier Artificial Intelligence Category – MarkTechPost

Researchers at Stanford Introduce Gisting: A Novel Technique for Efficient Prompt Compression in Language Models Nathalie Crevoisier Artificial Intelligence Category – MarkTechPost

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​ Model specialization involves adapting a pre-trained machine-learning model to a specific task or domain. In Language Models (LMs), model specialization is crucial in improving their performance in various tasks like summarization, question-answering, translation, and language generation. The two main processes to specialize a language… Read More »Researchers at Stanford Introduce Gisting: A Novel Technique for Efficient Prompt Compression in Language Models Nathalie Crevoisier Artificial Intelligence Category – MarkTechPost

Researchers from MIT and Harvard Introduce Language Models Trained on Media Diets that can Predict Public Opinion Tanushree Shenwai Artificial Intelligence Category – MarkTechPost

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​ Traditional survey-based approaches for measuring public opinion have limitations, but public opinion reflects and influences society’s behavior. Questions about the extent to which AI can understand and adopt human-language-based attitudes need to be explored. Answering these problems has become increasingly pressing as huge language… Read More »Researchers from MIT and Harvard Introduce Language Models Trained on Media Diets that can Predict Public Opinion Tanushree Shenwai Artificial Intelligence Category – MarkTechPost

Researchers from MIT and Harvard Introduce Language Models Trained on Media Diets that can Predict Public Opinion Tanushree Shenwai Artificial Intelligence Category – MarkTechPost

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​ Traditional survey-based approaches for measuring public opinion have limitations, but public opinion reflects and influences society’s behavior. Questions about the extent to which AI can understand and adopt human-language-based attitudes need to be explored. Answering these problems has become increasingly pressing as huge language… Read More »Researchers from MIT and Harvard Introduce Language Models Trained on Media Diets that can Predict Public Opinion Tanushree Shenwai Artificial Intelligence Category – MarkTechPost

Researchers from MIT and Harvard Introduce Language Models Trained on Media Diets that can Predict Public Opinion Tanushree Shenwai Artificial Intelligence Category – MarkTechPost

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​ Traditional survey-based approaches for measuring public opinion have limitations, but public opinion reflects and influences society’s behavior. Questions about the extent to which AI can understand and adopt human-language-based attitudes need to be explored. Answering these problems has become increasingly pressing as huge language… Read More »Researchers from MIT and Harvard Introduce Language Models Trained on Media Diets that can Predict Public Opinion Tanushree Shenwai Artificial Intelligence Category – MarkTechPost

Researchers from MIT and Harvard Introduce Language Models Trained on Media Diets that can Predict Public Opinion Tanushree Shenwai Artificial Intelligence Category – MarkTechPost

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​ Traditional survey-based approaches for measuring public opinion have limitations, but public opinion reflects and influences society’s behavior. Questions about the extent to which AI can understand and adopt human-language-based attitudes need to be explored. Answering these problems has become increasingly pressing as huge language… Read More »Researchers from MIT and Harvard Introduce Language Models Trained on Media Diets that can Predict Public Opinion Tanushree Shenwai Artificial Intelligence Category – MarkTechPost

A New NVIDIA Research Turns LDM Stable Diffusion into an Efficient and Expressive Text-to-Video Model with Resolution up to 1280 x 2048 Aneesh Tickoo Artificial Intelligence Category – MarkTechPost

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​ Due to recent advancements in the underlying modeling methods, generative models of pictures have attracted interest like never before. The most effective models of today are based on diffusion models, autoregressive transformers, and generative adversarial networks. Particularly desired features of diffusion models (DMs) include… Read More »A New NVIDIA Research Turns LDM Stable Diffusion into an Efficient and Expressive Text-to-Video Model with Resolution up to 1280 x 2048 Aneesh Tickoo Artificial Intelligence Category – MarkTechPost

A New NVIDIA Research Turns LDM Stable Diffusion into an Efficient and Expressive Text-to-Video Model with Resolution up to 1280 x 2048 Aneesh Tickoo Artificial Intelligence Category – MarkTechPost

  • by

​ Due to recent advancements in the underlying modeling methods, generative models of pictures have attracted interest like never before. The most effective models of today are based on diffusion models, autoregressive transformers, and generative adversarial networks. Particularly desired features of diffusion models (DMs) include… Read More »A New NVIDIA Research Turns LDM Stable Diffusion into an Efficient and Expressive Text-to-Video Model with Resolution up to 1280 x 2048 Aneesh Tickoo Artificial Intelligence Category – MarkTechPost