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MultiModal

The Download: rise of the multimodal robots, and the SEC’s new climate rules

The news: In the summer of 2021, OpenAI quietly shuttered its mulrobotics team, announcing that progress was being stifled by a lack of data necessary to train robots in how to move and reason using artificial intelligence.Now three of OpenAI’s early research scientists say the startup they spun off in 2017, called Covariant, has solved that problem. They’ve unveiled a system that combines the reasoning skills of large language models with the physical dexterity of an advanced robot. How it works: The new model, called…

Building a Multi-Modal Image Search Application

In the world of machine learning, there used to be a limit on models — they could only handle one type of data at a time. However, the ultimate aspiration of machine learning is to rival the cognitive prowess of the human mind, which effortlessly comprehends various data modalities simultaneously. Recent breakthroughs, exemplified by models like GPT-4V, have now demonstrated the remarkable ability to concurrently handle multiple data modalities. This opens up exciting possibilities for developers to craft AI applications…

Karnataka to Promote Multi-modal Integration of Public Transport to Reduce Traffic and Pollution

Published By: Shahrukh ShahLast Updated: February 17, 2024, 09:33 ISTRepresentational image. (File photo)The CM said that integrating various modes of transport such as metro rail, suburban rail and bus services of BMTC will help achieve the goal in the state.While unveiling the state budget for 2024-25, Karnataka Chief Minister Siddaramaiah on Friday said that promoting public transport is his priority to reduce traffic congestion and pollution in Bengaluru.The chief minister said that integrating various modes of

Jewar Airport: Multi-Modal Connectivity Plans Unveiled, Full Detail Inside

Last Updated: February 15, 2024, 15:25 ISTJewar Airport: Multi-Modal Connectivity Plans Unveiled. (Image: News18/File)While challenges persist, NIAL remains committed to ensuring the airport is well-connected through various means for the convenience of travelers.Noida International Airport Limited (NIAL) is gearing up for the launch of the Jewar Airport, and they’ve brought multiple agencies on board to ensure seamless connectivity through roads, trains, rapid rails, and the Expressway.NIAL is working with agencies like…

AI model trained to learn through child’s eyes and ears in a new research

 In a new research, an AI model was trained to learn words and concepts through the eyes and ears of a single child, using headcam video recordings from when the child was six months and through their second birthday.Researchers showed that the artificial intelligence (AI) model could learn a substantial number of words and concepts using limited slices of what the child experienced. Even though the video captured only one per cent of the child's waking hours, they said that was enough for genuine language learning. "By…

Large Multimodal Models (LMMs) vs Large Language Models (LLMs)

Large multimodal models (LMMs) represent a significant breakthrough, capable of interpreting diverse data types like text, images, and audio. However, their complexity and data requirements pose potential challenges. Innovations in AI research are aiming to overcome these challenges, promising a new era of intelligent technology. In this article, we explain large multimodal models by comparing them to large language models. What is a large multimodal model (LMM)? A large multimodal model is an advanced type of artificial…

CLIP Model and The Importance of Multimodal Embeddings

CLIP, which stands for Contrastive Language-Image Pretraining, is a deep learning model developed by OpenAI in 2021. CLIP’s embeddings for images and text share the same space, enabling direct comparisons between the two modalities. This is accomplished by training the model to bring related images and texts closer together while pushing unrelated ones apart.Some applications of CLIP include:Image Classification and Retrieval: CLIP can be used for image classification tasks by associating images with natural language…

Gemini – A Family of Highly Capable Multimodal Models: Abstract and Introduction

Too Long; Didn't ReadThis report introduces a new family of multimodal models, Gemini, that exhibit remarkable capabilities across image, audio, video, and text understanding. The Gemini family consists of Ultra, Pro, and Nano sizes, suitable for applications ranging from complex reasoning tasks to on-device memory-constrained use-cases. Evaluation on a broad range of benchmarks shows that our most-capable Gemini Ultra model advances the state of the art in 30 of 32 of these benchmarks — notably being the first model to…

Google Gemini, the multimodal AI model, is here; Know its features and use cases

Google Gemini was unveiled by Alphabet CEO Sundar Pichai and the company's AI research division DeepMind's CEO Demis Hassabis yesterday, December 6. Leaving PaLM-2 behind, it has now become the largest large language model released by the company so far. With its size, it also gains new capabilities. Being a multimodal AI model, its highest variant, Gemini Ultra, is capable of responding with text, images, videos, and audio, pushing the boundaries of what a general-purpose foundation model can do. So, if you have been…