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Meet Cheetor: A Transformer-based Multimodal Large Language Models (MLLMs) that can Effectively Handle a Wide Variety of Interleaved Vision-Language Instructions and Achieves State-of-the-Art Zero-Shot Performance Aneesh Tickoo Artificial Intelligence Category – MarkTechPost

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​ Through instruction tuning on groups of language tasks with an instructive style, large language models (LLMs) have lately demonstrated exceptional skills in acting as a general-purpose model for diverse activities. Instruction tuning unlocks a large amount of zero-shot generalizability of LLMs on novel task… Read More »Meet Cheetor: A Transformer-based Multimodal Large Language Models (MLLMs) that can Effectively Handle a Wide Variety of Interleaved Vision-Language Instructions and Achieves State-of-the-Art Zero-Shot Performance Aneesh Tickoo Artificial Intelligence Category – MarkTechPost

Meta AI’s Humpback! Making a Splash with Self-Alignment of LLMs with Instruction Backtranslation Janhavi Lande Artificial Intelligence Category – MarkTechPost

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​ Large Language Models (LLMs) have shown excellent generalization capabilities such as in-context-learning and chain-of-thoughts reasoning. To enable LLMs to follow natural language instructions and complete real-world tasks, researchers have been exploring methods of instruction-tuning of LLMs. This is implemented by fine-tuning the model on… Read More »Meta AI’s Humpback! Making a Splash with Self-Alignment of LLMs with Instruction Backtranslation Janhavi Lande Artificial Intelligence Category – MarkTechPost

Meet 3D-VisTA: A Pre-Trained Transformer for 3D Vision and Text Alignment that can be Easily Adapted to Various Downstream Tasks Tanya Malhotra Artificial Intelligence Category – MarkTechPost

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​ In the dynamic landscape of Artificial Intelligence, advancements are reshaping the boundaries of possibility. The fusion of three-dimensional visual understanding and the intricacies of Natural Language Processing (NLP) has emerged as a captivating frontier. This evolution can lead to understanding and carrying out human… Read More »Meet 3D-VisTA: A Pre-Trained Transformer for 3D Vision and Text Alignment that can be Easily Adapted to Various Downstream Tasks Tanya Malhotra Artificial Intelligence Category – MarkTechPost

FineRecon: Depth-aware Feed-forward Network for Detailed 3D Reconstruction Apple Machine Learning Research

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​Recent works on 3D reconstruction from posed images have demonstrated that direct inference of scene-level 3D geometry without iterative optimization is feasible using a deep neural network, showing remarkable promise and high efficiency. However, the reconstructed geometries, typically represented as a 3D truncated signed distance… Read More »FineRecon: Depth-aware Feed-forward Network for Detailed 3D Reconstruction Apple Machine Learning Research

Consistent Collaborative Filtering via Tensor Decomposition Apple Machine Learning Research

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​Collaborative filtering is the de facto standard for analyzing users’ activities and building recommendation systems for items. In this work we develop Sliced Anti-symmetric Decomposition (SAD), a new model for collaborative filtering based on implicit feedback. In contrast to traditional techniques where a latent representation… Read More »Consistent Collaborative Filtering via Tensor Decomposition Apple Machine Learning Research

Dataset and Network Introspection ToolKit (DNIKit) Apple Machine Learning Research

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​We introduce the Data and Network Introspection toolkit DNIKit, an open source Python framework for analyzing machine learning models and datasets. DNIKit contains a collection of algorithms that all operate on intermediate network responses, providing a unique understanding of how the network perceives data throughout… Read More »Dataset and Network Introspection ToolKit (DNIKit) Apple Machine Learning Research

Unmasking Deepfakes: Leveraging Head Pose Estimation Patterns for Enhanced Detection Accuracy Mahmoud Ghorbel Artificial Intelligence Category – MarkTechPost

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​ The emergence of the ability to produce “fake” videos has sparked significant worries regarding the trustworthiness of visual content. Distinguishing between authentic and counterfeit information is crucial in addressing this predicament. Various algorithms leveraging deep learning and facial landmarks have demonstrated captivating outcomes in… Read More »Unmasking Deepfakes: Leveraging Head Pose Estimation Patterns for Enhanced Detection Accuracy Mahmoud Ghorbel Artificial Intelligence Category – MarkTechPost

Google DeepMind Researchers Introduce SynJax: A Deep Learning Library For JAX Structured Probability Distribution Aneesh Tickoo Artificial Intelligence Category – MarkTechPost

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​ Data may be viewed as having a structure in various areas that explains how its components fit together to form a greater whole. Depending on the activity, this structure is typically latent and changes. Consider Figure 1 for illustrations of distinct structures in natural… Read More »Google DeepMind Researchers Introduce SynJax: A Deep Learning Library For JAX Structured Probability Distribution Aneesh Tickoo Artificial Intelligence Category – MarkTechPost