Flipboard

NOVEMBER 23, 2024

He enjoyed working at the intersection of several fields; human robot interaction, large language models, and classical computer vision were all necessary to create the robot. “It was a really fun project,” says Oliver Limoyo, one of the creators of PhotoBot.

Robotics 164

Robotics Large Language Models Computer Vision LLM 164

The MLOps Blog

JANUARY 23, 2025

TL;DR Multimodal Large Language Models (MLLMs) process data from different modalities like text, audio, image, and video. Compared to text-only models, MLLMs achieve richer contextual understanding and can integrate information across modalities, unlocking new areas of application.

Large Language Models 59

Large Language Models Auto-classification LLM Robotics 59

Marktechpost

APRIL 30, 2024

Large Language Models (LLMs) signify a revolutionary leap in numerous application domains, facilitating impressive accomplishments in diverse tasks. Yet, their immense size incurs substantial computational expenses. With billions of parameters, these models demand extensive computational resources for operation.

Large Language Models 132

Large Language Models Categorization Algorithm Natural Language Processing 132

Unite.AI

MARCH 8, 2025

Development History Akool is a tech startup founded in 2022 by Jiajun Lu, a seasoned expert in AI and computer vision. Jiajun Lu, the founder and CEO of Akool, has a strong background in AI and computer vision. has been recognized as one of the global leaders in artificial intelligence and computer vision.

Computer Vision 202

Computer Vision AI AI Large Language Models 202

Flipboard

FEBRUARY 10, 2025

What Is Ollama and the Ollama API Functionality Ollama is an open-source framework that enables developers to run large language models (LLMs) like Llama 3.2 Vision locally on their machines. Vision directly on your local machine. With Ollamas model management sorted, its time to meet Llama 3.2,

Chatbots 149

Chatbots Computer Vision Deep Learning Large Language Models 149

Marktechpost

MAY 10, 2024

Multimodal large language models (MLLMs) represent a cutting-edge intersection of language processing and computer vision, tasked with understanding and generating responses that consider both text and imagery. If you like our work, you will love our newsletter.

Large Language Models 120

Large Language Models Computer Vision Data Quality ML 120

Analytics Vidhya

JULY 1, 2024

Introduction This article explores Vision Language Models (VLMs) and their advantages over traditional computer vision-based models. Learning Objectives This article was published as a part […] The post What are Pre-training Methods of Vision Language Models?

Computer Vision 318

Computer Vision OpenAI Large Language Models 318

Marktechpost

JANUARY 31, 2024

Researchers from Shanghai AI Laboratory introduced HuixiangDou, a technical assistant based on Large Language Models (LLM), to tackle these issues, marking a significant breakthrough. HuixiangDou is designed for group chat scenarios in technical domains like computer vision and deep learning.

Large Language Models 131

Large Language Models LLM Computer Vision Deep Learning 131

Marktechpost

MAY 27, 2024

Multimodal large language models (MLLMs) are cutting-edge innovations in artificial intelligence that combine the capabilities of language and vision models to handle complex tasks such as visual question answering & image captioning. Join our Telegram Channel , Discord Channel , and LinkedIn Gr oup.

Large Language Models 131

Large Language Models Categorization Artificial Intelligence Artificial Intelligence 131

Unite.AI

NOVEMBER 5, 2024

The Ascend 910C delivers high computational power, consuming around 310 watts. The chip is designed for flexibility and scalability, enabling it to handle various AI workloads such as Natural Language Processing (NLP) , computer vision , and predictive analytics. The timing of the Ascend 910C launch is significant.

Deep Learning 189

Deep Learning AI Neural Network AI 189

Marktechpost

SEPTEMBER 20, 2024

Multimodal large language models (MLLMs) focus on creating artificial intelligence (AI) systems that can interpret textual and visual data seamlessly. The NVLM-H model, in particular, strikes a balance between image processing efficiency and multimodal reasoning accuracy, making it one of the most promising models in this field.

Large Language Models 128

Large Language Models Natural Language Processing Computer Vision AI 128

Towards AI

DECEMBER 16, 2024

From breakthroughs in large language models to revolutionary approaches in computer vision and AI safety, the research community has outdone itself. Vision Mamba Summary: Vision Mamba introduces the application of state-space models (SSMs) to computer vision tasks.

AI Research 111

AI Research AI Researcher Computer Vision Neural Network 111

Marktechpost

MARCH 14, 2024

The emergence of large language models (LLMs) has sparked a profound shift in the dynamic realm of scientific research. Utilizing LLMs’ natural language understanding capabilities, this system parses figure captions and abstracts to label micrographs with relevant material and accurate instrument information.

Large Language Models 128

Large Language Models Data Analysis Automation LLM 128

Marktechpost

DECEMBER 27, 2023

In the evolving landscape of artificial intelligence and machine learning, the integration of visual perception with language processing has become a frontier of innovation. This integration is epitomized in the development of Multimodal Large Language Models (MLLMs), which have shown remarkable prowess in a range of vision-language tasks.

Large Language Models 141

Large Language Models Artificial Intelligence Artificial Intelligence Machine Learning 141

NYU Center for Data Science

JANUARY 29, 2025

To address this issue, the team developed DRoP (Distributionally Robust Pruning), a new pruning approach that carefully selects how many samples to keep from each class based on how difficult that class is for the model to learn. You need to balance these domains while removing redundancy to ensure the model performs well across all ofthem.

Computer Vision 71

Computer Vision Large Language Models Machine Learning Explainability 71

Analytics Vidhya

SEPTEMBER 23, 2024

Introduction OpenAI’s development of CLIP (Contrastive Language Image Pre-training) has seen a lot of development in multimodal and natural language models. With different applications, this computer vision system can help represent text and images in a vector format.

Computer Vision 270

Computer Vision OpenAI Large Language Models Generative AI 270

AWS Machine Learning Blog

JUNE 18, 2024

Traditional neural network models like RNNs and LSTMs and more modern transformer-based models like BERT for NER require costly fine-tuning on labeled data for every custom entity type. By using the model’s broad linguistic understanding, you can perform NER on the fly for any specified entity type.

Large Language Models 125

Large Language Models Natural Language Processing LLM Computer Vision 125

Marktechpost

MAY 29, 2024

Multimodal Large Language Models (MLLMs) represent an advanced field in artificial intelligence where models integrate visual and textual information to understand and generate responses. If you like our work, you will love our newsletter.

Large Language Models 128

Large Language Models LLM Artificial Intelligence Artificial Intelligence 128

Marktechpost

FEBRUARY 29, 2024

Large Language Models (LLMs) have extended their capabilities to different areas, including healthcare, finance, education, entertainment, etc. These models have utilized the power of Natural Language Processing (NLP), Natural Language Generation (NLG), and Computer Vision to dive into almost every industry.

Large Language Models 131

Large Language Models Machine Learning LLM Natural Language Processing 131

Analytics Vidhya

APRIL 14, 2023

As artificial intelligence (AI) continues to evolve, so do the capabilities of Large Language Models (LLMs). These models use machine learning algorithms to understand and generate human language, making it easier for humans to interact with machines.

Large Language Models 358

Large Language Models Artificial Intelligence Artificial Intelligence Machine Learning 358

Unite.AI

OCTOBER 17, 2024

Some of the earliest and most extensive work has occurred in the use of deep learning and computer vision models. observational studies and clinical trials–have used population-focused modeling approaches that rely on regression models, in which independent variables are used to predict outcomes.

Neural Network 262

Neural Network Convolutional Neural Networks Large Language Models Computer Vision 262

Marktechpost

MARCH 24, 2024

Recent advancements in multimodal large language models (MLLM) have revolutionized various fields, leveraging the transformative capabilities of large-scale language models like ChatGPT. If you like our work, you will love our newsletter.

Large Language Models 134

Large Language Models Natural Language Processing Robotics ChatGPT 134

Unite.AI

OCTOBER 27, 2024

The ecosystem has rapidly evolved to support everything from large language models (LLMs) to neural networks, making it easier than ever for developers to integrate AI capabilities into their applications. environments.

Neural Network 159

Neural Network Machine Learning NLP Natural Language Processing 159

Marktechpost

JUNE 23, 2024

Existing work includes isolated computer vision techniques for image classification and natural language processing for textual data analysis. The difficulty lies in extracting relevant information from images and correlating it with textual data, essential for advancing research and applications in this field.

Large Language Models 123

Large Language Models Computer Vision Natural Language Processing Data Analysis 123

Unite.AI

OCTOBER 27, 2023

This approach unleashes the full potential of 2D models and strategies to scale them to the 3D world. In this article, we will delve deeper into 3D computer vision and the Uni3D framework, exploring the essential concepts and the architecture of the model. So, let’s begin.

Computer Vision 263

Computer Vision NLP Natural Language Processing Large Language Models 263

Analytics Vidhya

MARCH 15, 2023

Introduction Recently, Large Language Models (LLMs) have made great advancements. However, ChatGPT is limited in processing visual information since it’s trained with a single language modality.

ChatGPT 337

ChatGPT Large Language Models AI AI 337

AWS Machine Learning Blog

OCTOBER 14, 2024

With recent advances in large language models (LLMs), a wide array of businesses are building new chatbot applications, either to help their external customers or to support internal teams. He specializes in computer vision and language modeling, with applications in healthcare, energy, and education.

Chatbots 125

Chatbots Computer Vision LLM Generative AI 125

Marktechpost

APRIL 29, 2024

Evaluating Multimodal Large Language Models (MLLMs) in text-rich scenarios is crucial, given their increasing versatility. MLLMs like GPT-4V, Gemini-Pro-Vision, and Claude-3-Opus showcase impressive capabilities but lack comprehensive evaluation in text-rich contexts. If you like our work, you will love our newsletter.

Large Language Models 125

Large Language Models ML Computer Vision AI 125

BAIR

MARCH 11, 2024

Their work at BAIR, ranging from deep learning, robotics, and natural language processing to computer vision, security, and much more, has contributed significantly to their fields and has had transformative impacts on society. Currently, I am working on Large Language Model (LLM) based autonomous agents.

Robotics 340

Robotics Natural Language Processing Machine Learning Deep Learning 340

Marktechpost

OCTOBER 6, 2024

The rise of powerful image editing models has further blurred the line between real and fake content, posing risks such as misinformation and legal issues. The post FakeShield: An Explainable AI Framework for Universal Image Forgery Detection and Localization Using Multimodal Large Language Models appeared first on MarkTechPost.

Large Language Models 116

Large Language Models Explainability Explainable AI AI 116

Marktechpost

OCTOBER 12, 2024

Multimodal Large Language Models (MLLMs) have made significant progress in various applications using the power of Transformer models and their attention mechanisms. Researchers are focusing on addressing these biases without altering the model’s weights.

Large Language Models 109

Large Language Models LLM ML Computer Vision 109

Marktechpost

JANUARY 2, 2024

The development of multimodal large language models (MLLMs) represents a significant leap forward. These advanced systems, which integrate language and visual processing, have broad applications, from image captioning to visible question answering. If you like our work, you will love our newsletter.

Large Language Models 130

Large Language Models AI Research AI Researcher AI 130

Marktechpost

AUGUST 15, 2024

VideoLLaMA 2 retains the dual-branch architecture of its predecessor, with separate Vision-Language and Audio-Language branches that connect pre-trained visual and audio encoders to a large language model.

Large Language Models 117

Large Language Models LLM Data Integration ML 117

Marktechpost

MARCH 25, 2024

The performance of multimodal large Language Models (MLLMs) in visual situations has been exceptional, gaining unmatched attention. However, their ability to solve visual math problems must still be fully assessed and comprehended.

Large Language Models 131

Large Language Models Artificial Intelligence Artificial Intelligence ML 131

Flipboard

DECEMBER 3, 2024

Building on years of experience in deploying ML and computer vision to address complex challenges, Syngenta introduced applications like NemaDigital, Moth Counter, and Productivity Zones. Victor Antonino , M.Eng, is a Senior Machine Learning Engineer at AWS with over a decade of experience in generative AI, computer vision, and MLOps.

Generative AI 149

Generative AI Metadata Machine Learning Natural Language Processing 149

Unite.AI

NOVEMBER 11, 2024

Alix Melchy is the VP of AI at Jumio, where he leads teams of machine learning engineers across the globe with a focus on computer vision, natural language processing and statistical modeling. DAOs also capture detailed descriptions of ID documents, ensuring accurate data validation and security checks at scale.

Machine Learning 159

Machine Learning AI AI Natural Language Processing 159

NVIDIA

MARCH 25, 2025

NIM microservices support a range of AI applications, including large language models ( LLMs ), vision language models, image generation, speech processing, retrieval-augmented generation ( RAG )-based search, PDF extraction and computer vision. asr , Maxine Studio Voice RAG: Llama-3.2-NV-EmbedQA-1B-v2

Computer Vision 107

Computer Vision AI AI Generative AI 107