Google AI Introduces MediaPipe Diffusion Plugins That Enable Controllable Text-To-Image Generation On-Device

Diffusion models have been widely used with remarkable success in text-to-image generation in recent years, leading to significant improvements in image quality, inference performance, and the scope of our creative possibilities. However, effective generation management remains a challenge, especially under conditions that are hard to define in words. MediaPipe dispersion plugins, developed by Google researchers,…

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A New AI Research Introduces AttrPrompt: A LLM-as-Training-Data-Generator for a New Paradigm in Zero-Shot Learning

The performance of large language models (LLMs) has been impressive across many different natural language processing (NLP) applications. In recent studies, LLMs have been proposed as task-specific training data generators to reduce the necessity of task-specific data and annotations, especially for text classification. Though these efforts have demonstrated the usefulness of LLMs as data producers,…

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Defining the public interest in new technologies | MIT News

How are waves of disruptive technologies, such as more advanced versions of artificial intelligence systems, changing the way we work, live, and play? Are there pathways that academics, practitioners, innovators, and entrepreneurs ought to be pursuing to ensure that the largest share of the benefits associated with new technologies uplift the most marginalized populations? What…

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Transforming AI Interaction: LLaVAR Outperforms in Visual and Text-Based Comprehension, Marking a New Era in Multimodal Instruction-Following Models

By combining several activities into one instruction, instruction tuning enhances generalization to new tasks. Such capacity to respond to open-ended questions has contributed to the recent chatbot explosion since ChatGPT 2. Visual encoders like CLIP-ViT have recently been added to conversation agents as part of visual instruction-tuned models, allowing for human-agent interaction based on pictures….

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Salesforce Introduces XGen-7B: A New 7B LLM Trained on up to 8K Sequence Length for 1.5T Tokens

With recent technological breakthroughs in artificial intelligence, Large Language Models, or LLMs in short, have become increasingly prevalent. Over the past few years, researchers have made rapid advancements in solving several complex language-related tasks by training these models on vast amounts of data in order to comprehend intricate language patterns, generate coherent responses, etc. One…

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MIT Unveils Revolutionary AI Tool: Enhancing Chart Interpretation and Accessibility with Adaptive, Detail-Rich Captions for Users of All Abilities

In a significant step towards enhancing accessibility and comprehension of complex charts and graphs, a team of researchers from MIT has created a groundbreaking dataset called VisText. The dataset aims to revolutionize automatic chart captioning systems by training machine-learning models to generate precise and semantically rich captions that accurately describe data trends and intricate patterns….

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