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This AI Research Introduces TinyGPT-V: A Parameter-Efficient MLLMs (Multimodal Large Language Models) Tailored for a Range of Real-World Vision-Language Applications

Marktechpost

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.

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Google DeepMind Researchers Propose Optimization by PROmpting (OPRO): Large Language Models as Optimizers

Marktechpost

With the constant advancements in the field of Artificial Intelligence, its subfields, including Natural Language Processing, Natural Language Generation, Natural Language Understanding, and Computer Vision, are getting significantly popular. If you like our work, you will love our newsletter.

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Researchers from Microsoft and Georgia Tech Introduce VCoder: Versatile Vision Encoders for Multimodal Large Language Models

Marktechpost

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.

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Microsoft AI Releases LLMLingua: A Unique Quick Compression Technique that Compresses Prompts for Accelerated Inference of Large Language Models (LLMs)

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Large Language Models (LLMs), due to their strong generalization and reasoning powers, have significantly uplifted the Artificial Intelligence (AI) community. If you like our work, you will love our newsletter.

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Can a Language Model Revolutionize Radiology? Meet Radiology-Llama2: A Large Language Model Specialized For Radiology Through a Process Known as Instruction Tuning

Marktechpost

Large language models (LLMs) built on transformers, including ChatGPT and GPT-4, have demonstrated amazing natural language processing abilities. The creation of transformer-based NLP models has sparked advancements in designing and using transformer-based models in computer vision and other modalities.

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This AI Research Introduces CoDi-2: A Groundbreaking Multimodal Large Language Model Transforming the Landscape of Interleaved Instruction Processing and Multimodal Output Generation

Marktechpost

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.

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Can Large Language Models Help Long-term Action Anticipation from Videos? Meet AntGPT: An AI Framework to Incorporate Large Language Models for the Video-based Long-Term Action Anticipation Task

Marktechpost

They suggest examining whether large language models (LLMs) may profit from films because of their success in robotic planning and program-based visual question answering. The post Can Large Language Models Help Long-term Action Anticipation from Videos?