Skip to content

Meet Gemini: A Google’s Groundbreaking Multimodal AI Model Redefining the Future of Artificial Intelligence Asif Razzaq Artificial Intelligence Category – MarkTechPost

  • by

​ Google’s latest venture into artificial intelligence, Gemini, represents a significant leap forward in AI technology. Unveiled as an AI model of remarkable capability, Gemini is a testament to Google’s ongoing commitment to AI-first strategies, a journey that has spanned nearly eight years. This development… Read More »Meet Gemini: A Google’s Groundbreaking Multimodal AI Model Redefining the Future of Artificial Intelligence Asif Razzaq Artificial Intelligence Category – MarkTechPost

Researchers from MIT and Adobe Introduce Distribution Matching Distillation (DMD): An Artificial Intelligence Method to Transform a Diffusion Model into a One-Step Image Generator Aneesh Tickoo Artificial Intelligence Category – MarkTechPost

  • by

​ With a steady training process, diffusion models have revolutionized picture production, attaining previously unheard-of levels of variety and realism. But unlike GANs and VAEs, their sampling is a laborious, iterative process that gradually reduces the noise in a Gaussian noise sample to produce a… Read More »Researchers from MIT and Adobe Introduce Distribution Matching Distillation (DMD): An Artificial Intelligence Method to Transform a Diffusion Model into a One-Step Image Generator Aneesh Tickoo Artificial Intelligence Category – MarkTechPost

Google Researchers Unveil Universal Self-Consistency (USC): A New Leap in Large Language Model Capabilities for Complex Task Performance Sana Hassan Artificial Intelligence Category – MarkTechPost

  • by

​ The problem of selecting the most consistent answer from multiple candidates to enhance task performance, particularly in tasks like mathematical reasoning and code generation, has been addressed by researchers from Google through their Universal Self-Consistency (USC) method. This method utilizes LLMs and achieves comparable… Read More »Google Researchers Unveil Universal Self-Consistency (USC): A New Leap in Large Language Model Capabilities for Complex Task Performance Sana Hassan Artificial Intelligence Category – MarkTechPost

This AI Research Introduces CoDi-2: A Groundbreaking Multimodal Large Language Model Transforming the Landscape of Interleaved Instruction Processing and Multimodal Output Generation Adnan Hassan Artificial Intelligence Category – MarkTechPost

  • by

​ Researchers developed the CoDi-2 Multimodal Large Language Model (MLLM) from UC Berkeley, Microsoft Azure AI, Zoom, and UNC-Chapel Hill to address the problem of generating and understanding complex multimodal instructions, as well as excelling in subject-driven image generation, vision transformation, and audio editing tasks.… Read More »This AI Research Introduces CoDi-2: A Groundbreaking Multimodal Large Language Model Transforming the Landscape of Interleaved Instruction Processing and Multimodal Output Generation Adnan Hassan Artificial Intelligence Category – MarkTechPost

Multimodal Data and Resource Efficient Device-Directed Speech Detection with Large Foundation Models Apple Machine Learning Research

  • by

​*=Equal Contributors This paper was accepted at the Efficient Natural Language and Speech Processing workshop at NeurIPS 2023. Interactions with virtual assistants often begin with a predefined trigger phrase followed by the user command. To make interactions with the assistant more natural, we explore whether… Read More »Multimodal Data and Resource Efficient Device-Directed Speech Detection with Large Foundation Models Apple Machine Learning Research

DeepPCR: Parallelizing Sequential Operations in Neural Networks Apple Machine Learning Research

  • by

​Parallelization techniques have become ubiquitous for accelerating inference and training of deep neural networks. Despite this, several operations are still performed in a sequential manner. For instance, the forward and backward passes are executed layer-by-layer, and the output of diffusion models is produced by applying… Read More »DeepPCR: Parallelizing Sequential Operations in Neural Networks Apple Machine Learning Research

Visual AI Takes Flight at Canada’s Largest, Busiest Airport Angie Lee – Archives Page 1 | NVIDIA Blog

  • by

​ Toronto Pearson International Airport, in Ontario, Canada, is the country’s largest and busiest airport, serving some 50 million passengers each year. To enhance traveler experiences, the airport in June deployed the Zensors AI platform, which uses anonymized footage from existing security cameras to generate… Read More »Visual AI Takes Flight at Canada’s Largest, Busiest Airport Angie Lee – Archives Page 1 | NVIDIA Blog

Mitigate hallucinations through Retrieval Augmented Generation using Pinecone vector database & Llama-2 from Amazon SageMaker JumpStart Vedant Jain AWS Machine Learning Blog

  • by

​ Despite the seemingly unstoppable adoption of LLMs across industries, they are one component of a broader technology ecosystem that is powering the new AI wave. Many conversational AI use cases require LLMs like Llama 2, Flan T5, and Bloom to respond to user queries.… Read More »Mitigate hallucinations through Retrieval Augmented Generation using Pinecone vector database & Llama-2 from Amazon SageMaker JumpStart Vedant Jain AWS Machine Learning Blog

Researchers from Microsoft Research and Georgia Tech Unveil Statistical Boundaries of Hallucinations in Language Models Aneesh Tickoo Artificial Intelligence Category – MarkTechPost

  • by

​ A key issue that has recently surfaced in Language Models is the high rate at which Language Models (LMs) provide erroneous information, including references to nonexistent article titles. The Merriam-Webster dictionary defines a hallucination as “a plausible but false or misleading response generated by… Read More »Researchers from Microsoft Research and Georgia Tech Unveil Statistical Boundaries of Hallucinations in Language Models Aneesh Tickoo Artificial Intelligence Category – MarkTechPost

What Should You Choose Between Retrieval Augmented Generation (RAG) And Fine-Tuning? Tanya Malhotra Artificial Intelligence Category – MarkTechPost

  • by

​ Recent months have seen a significant rise in the popularity of Large Language Models (LLMs). Based on the strengths of Natural Language Processing, Natural Language Understanding, and Natural Language Generation, these models have demonstrated their capabilities in almost every industry. With the introduction of… Read More »What Should You Choose Between Retrieval Augmented Generation (RAG) And Fine-Tuning? Tanya Malhotra Artificial Intelligence Category – MarkTechPost