​ Large text-to-video models trained on internet-scale data have shown extraordinary capabilities to generate high-fidelity films from arbitrarily written descriptions. However, fine-tuning a pretrained huge model might be prohibitively expensive, making it difficult to adapt these models to applications with limited domain-specific data, such as… Read More »Enhancing Task-Specific Adaptation for Video Foundation Models: Introducing Video Adapter as a Probabilistic Framework for Adapting Text-to-Video Models Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost

​ Researchers have proposed a novel approach to enforcing distributional constraints in machine learning models using multi-marginal optimal transport. This approach is designed to be computationally efficient and allows for efficient computation of gradients during backpropagation. Existing methods for enforcing distributional constraints in machine learning… Read More »This AI Paper Presents An Efficient Solution For Solving Common Practical Multi-Marginal Optimal Transport Problems Asif Razzaq Artificial Intelligence Category – MarkTechPost

​ In a recent study published in Nature Machine Intelligence, researchers from TU Delft and EPFL delved into the capabilities of OpenAI’s ChatGPT platform. Curiosity led them to investigate whether the advanced language model could extend its reach beyond generating poems, essays, and books and… Read More »Can ChatGPT Also Design a Robot? Exploring the Intersection of Large Language Models and Human-AI Collaboration in Robot Design – Societal Implications and Beyond Niharika Singh Artificial Intelligence Category – MarkTechPost

​ The explicit modeling of the input modality is typically required for deep learning inference. For instance, by encoding picture patches into vectors, Vision Transformers (ViTs) directly model the 2D spatial organization of images. Similarly, calculating spectral characteristics (like MFCCs) to transmit into a network… Read More »Apple Researchers Introduce ByteFormer: An AI Model That Consumes Only Bytes And Does Not Explicitly Model The Input Modality Aneesh Tickoo Artificial Intelligence Category – MarkTechPost

​ Artificial intelligence is revolutionary in all the major use cases and applications we encounter daily. One such area revolves around a lot of audio and visual media. Think about all the AI-powered apps that can generate funny videos, and artistically astounding images, copy a… Read More »MIT Researchers Propose A New Multimodal Technique That Blends Machine Learning Methods To Learn More Similarly To Humans Anant shahi Artificial Intelligence Category – MarkTechPost

​ ONNX (Open Neural Network Exchange) is an open-source standard for representing deep learning models widely supported by many providers. ONNX provides tools for optimizing and quantizing models to reduce the memory and compute needed to run machine learning (ML) models. One of the biggest… Read More »Host ML models on Amazon SageMaker using Triton: ONNX Models Abhi Shivaditya AWS Machine Learning Blog

​ Large Language Models (LLMs) have demonstrated incredible capabilities in recent times. Learning from massive amounts of data, these models have been performing tasks with amazing applications, including human-like textual content generation, question-answering, code completion, text summarization, creation of highly-skilled virtual assistants, and so on.… Read More »Meet SpQR (Sparse-Quantized Representation): A Compressed Format And Quantization Technique That Enables Near-Lossless Large Language Model Weight Compression Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​Posted by Su Wang and Ceslee Montgormery, Research Engineers, Google Research In the last few years, text-to-image generation research has seen an explosion of breakthroughs (notably, Imagen, Parti, DALL-E 2, etc.) that have naturally permeated into related topics. In particular, text-guided image editing (TGIE) is… Read More »Imagen Editor and EditBench: Advancing and evaluating text-guided image inpainting Google AI Google AI Blog

​ We are excited to announce the open-source release of GraphStorm 0.1, a low-code enterprise graph machine learning (ML) framework to build, train, and deploy graph ML solutions on complex enterprise-scale graphs in days instead of months. With GraphStorm, you can build solutions that directly… Read More »Fast-track graph ML with GraphStorm: A new way to solve problems on enterprise-scale graphs Da Zheng AWS Machine Learning Blog

​ The natural language creation field is completely transformed by large language models (LLMs). Traditional fine-tuning approaches for responding to downstream tasks require access to the parameters of LLMs, which limits their use on potent black-box LLMs (like ChatGPT) that only give APIs. Because of… Read More »A New AI Research Introduces A Novel Enhanced Prompting Framework for Text Generation Tanushree Shenwai Artificial Intelligence Category – MarkTechPost