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MIT Researchers Propose A New Multimodal Technique That Blends Machine Learning Methods To Learn More Similarly To Humans Anant shahi Artificial Intelligence Category – MarkTechPost

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​ 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

Host ML models on Amazon SageMaker using Triton: ONNX Models Abhi Shivaditya AWS Machine Learning Blog

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​ 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

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

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​ 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

Imagen Editor and EditBench: Advancing and evaluating text-guided image inpainting Google AI Google AI Blog

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​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

Fast-track graph ML with GraphStorm: A new way to solve problems on enterprise-scale graphs Da Zheng AWS Machine Learning Blog

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​ 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

A New AI Research Introduces A Novel Enhanced Prompting Framework for Text Generation Tanushree Shenwai Artificial Intelligence Category – MarkTechPost

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​ 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

Meet PRODIGY: A Pretraining AI Framework That Enables In-Context Learning Over Graphs Tanya Malhotra Artificial Intelligence Category – MarkTechPost

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​ The GPT model, which is the transformer architecture behind the well famous chatbot developed by OpenAI called ChatGPT, works on the concept of learning tasks with the help of only a few examples. This approach, called in-context learning, saves the model from fine-tuning with… Read More »Meet PRODIGY: A Pretraining AI Framework That Enables In-Context Learning Over Graphs Tanya Malhotra Artificial Intelligence Category – MarkTechPost

CMU Researchers Introduce ReLM: An AI System For Validating And Querying LLMs Using Standard Regular Expressions Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost

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​ There are rising worries about the potential negative impacts of large language models (LLMs), such as data memorization, bias, and unsuitable language, despite LLMs’ widespread praise for their capacity to generate natural-sounding text. It is challenging to validate (and rectify) such worries because of… Read More »CMU Researchers Introduce ReLM: An AI System For Validating And Querying LLMs Using Standard Regular Expressions Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost

Google Researchers Introduce StyleDrop: An AI Method that Enables the Synthesis of Images that Faithfully Follow a Specific Style Using a Text-to-Image Model Niharika Singh Artificial Intelligence Category – MarkTechPost

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​ A group of researchers from Google have recently unveiled StyleDrop, an innovative neural network developed in collaboration with Muse’s fast text-to-image model. This groundbreaking technology allows users to generate images that faithfully embody a specific visual style, capturing nuances and intricacies. By selecting an… Read More »Google Researchers Introduce StyleDrop: An AI Method that Enables the Synthesis of Images that Faithfully Follow a Specific Style Using a Text-to-Image Model Niharika Singh Artificial Intelligence Category – MarkTechPost