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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. Rushabh Lokhande is a Senior Data & ML Engineer with AWS Professional Services Analytics Practice.

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Building a Multimodal Gradio Chatbot with Llama 3.2 Using the Ollama API

Flipboard

Along the way, youll gain insights into what Ollama is, where it stores models, and how it integrates seamlessly with Gradio for multimodal applications. Whether youre new to Gradio or looking to expand your machine learning (ML) toolkit, this guide will equip you to create versatile and impactful applications. Introducing Llama 3.2

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Exploring Parameter-Efficient Fine-Tuning Strategies for Large Language Models

Marktechpost

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.

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10 Best JavaScript Frameworks for Building AI Systems (October 2024)

Unite.AI

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. Key Features: Hardware-accelerated ML operations using WebGL and Node.js environments.

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A Survey Report on New Strategies to Mitigate Hallucination in Multimodal Large Language Models

Marktechpost

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. Join our Telegram Channel , Discord Channel , and LinkedIn Gr oup.

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Shanghai AI Lab Presents HuixiangDou: A Domain-Specific Knowledge Assistant Powered by Large Language Models (LLM)

Marktechpost

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.