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This AI Research Dives Into The Limitations and Capabilities of Transformer Large Language Models (LLMs), Empirically and Theoretically, on Compositional Tasks Tanya Malhotra Artificial Intelligence Category – MarkTechPost

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​ ChatGPT is trending, and millions of people are using it every day. With its incredible capabilities of imitating humans, such as question answering, generating unique and creative content, summarizing massive textual data, code completion, and developing highly useful virtual assistants, ChatGPT is making our… Read More »This AI Research Dives Into The Limitations and Capabilities of Transformer Large Language Models (LLMs), Empirically and Theoretically, on Compositional Tasks Tanya Malhotra Artificial Intelligence Category – MarkTechPost

Meet PLASMA: A Novel Two-Pronged AI Approach To Endow Small Language Models With Procedural Knowledge And (Counterfactual) Planning Capabilities Aneesh Tickoo Artificial Intelligence Category – MarkTechPost

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​ Large language models (LLMs) excel at many downstream tasks that call for common sense, thanks to their vast size. One such activity is procedural planning, which entails breaking down a high-level aim into a series of logical, compelling, and goal-oriented actions (plan) (for instance,… Read More »Meet PLASMA: A Novel Two-Pronged AI Approach To Endow Small Language Models With Procedural Knowledge And (Counterfactual) Planning Capabilities Aneesh Tickoo Artificial Intelligence Category – MarkTechPost

Researchers From UT Austin and UC Berkeley Introduce Ambient Diffusion: An AI Framework To Train/Finetune Diffusion Models Given Only Corrupted Data As Input Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost

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​ For learning high-dimensional distributions and resolving inverse problems, generative diffusion models are emerging as flexible and potent frameworks. Text conditional foundation models like Dalle-2, Latent Diffusion, and Imagen have achieved remarkable performance in generic picture domains due to several recent advancements. Diffusion models have… Read More »Researchers From UT Austin and UC Berkeley Introduce Ambient Diffusion: An AI Framework To Train/Finetune Diffusion Models Given Only Corrupted Data As Input Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost