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How to Perform Computer Vision Tasks with Florence-2

Analytics Vidhya

Introduction The introduction of the original transformers paved the way for the current Large Language Models. Similarly, after the introduction of the transformer model, the vision transformer (ViT) was introduced.

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Roboflow Helps Unlock Computer Vision for Every Kind of AI Builder

NVIDIA

The importance of sight in understanding the world makes computer vision essential for AI systems. By simplifying computer vision development, startup Roboflow helps bridge the gap between AI and people looking to harness it. 22:15 How multimodalilty allows AI to be more intelligent.

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Mini-InternVL: A Series of Multimodal Large Language Models (MLLMs) 1B to 4B, Achieving 90% of the Performance with Only 5% of the Parameters

Marktechpost

Multimodal large language models (MLLMs) rapidly evolve in artificial intelligence, integrating vision and language processing to enhance comprehension and interaction across diverse data types. Check out the Paper and Model Card on Hugging Face. Don’t Forget to join our 55k+ ML SubReddit.

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Using Large Language Models on Amazon Bedrock for multi-step task execution

AWS Machine Learning Blog

The goal of this blog post is to show you how a large language model (LLM) can be used to perform tasks that require multi-step dynamic reasoning and execution. He specializes in helping customers accelerate business outcomes on AWS through the application of machine learning and generative AI.

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What is Mixture of Experts (MoE)?

Analytics Vidhya

The emergence of Mixture of Experts (MoE) architectures has revolutionized the landscape of large language models (LLMs) by enhancing their efficiency and scalability. This innovative approach divides a model into multiple specialized sub-networks, or “experts,” each trained to handle specific types of data or tasks.

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Robot Photographer Takes the Perfect Picture

Flipboard

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.

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Multimodal Large Language Models

The MLOps Blog

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.