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Revolutionising Visual-Language Understanding: VILA 2’s Self-Augmentation and Specialist Knowledge Integration

The field of language models has seen remarkable progress, driven by transformers and scaling efforts. OpenAI’s GPT series demonstrated the power of increasing parameters and high-quality data. Innovations like Transformer-XL expanded context windows, while models such as Mistral, Falcon, Yi, DeepSeek, DBRX, and Gemini pushed capabilities further. Visual language models (VLMs) have also advanced rapidly.…

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AI achieves silver-medal standard solving International Mathematical Olympiad problems

Acknowledgements We thank the International Mathematical Olympiad organization for their support. AlphaProof development was led by Thomas Hubert, Rishi Mehta and Laurent Sartran; AlphaGeometry 2 and natural language reasoning efforts were led by Thang Luong. AlphaProof was developed with key contributions from Hussain Masoom, Aja Huang, Miklós Z. Horváth, Tom Zahavy, Vivek Veeriah, Eric Wieser,…

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The Complete Guide to AI Image Processing in 2024

With recent advances in artificial intelligence, document processing has been transforming rapidly. One such application is AI image processing.  AI image recognition market was valued at approximately $2.6 billion in 2021 and is expected to grow to $6.6 billion by 2025! From AI image generators, medical imaging, drone object detection, and mapping to real-time face…

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Comparing ANN and CNN on CIFAR-10: A Comprehensive Analysis | by Ravjot Singh | Jul, 2024

Are you curious about how different neural networks stack up against each other? In this blog, we dive into an exciting comparison between Artificial Neural Networks (ANN) and Convolutional Neural Networks (CNN) using the popular CIFAR-10 dataset. We’ll break down the key concepts, architectural differences, and real-world applications of ANNs and CNNs. Join us as…

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AI-Driven Market Sentiment Analysis for Strategic Business Investment

Those in business investment may find managing market sentiment analysis to be challenging. Traditional methods often miss the subtle shifts in investor attitudes, making it hard to make informed decisions.  However, AI-driven sentiment analysis allows investors to gain deeper and more comprehensive insights. It is becoming a valuable asset to investment analysts and simplifies…

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Visual Haystacks Benchmark: The First “Visual-Centric” Needle-In-A-Haystack (NIAH) Benchmark to Assess LMMs’ Capability in Long-Context Visual Retrieval and Reasoning

A significant challenge in the field of visual question answering (VQA) is the task of Multi-Image Visual Question Answering (MIQA). This involves generating relevant and grounded responses to natural language queries based on a large set of images. Existing Large Multimodal Models (LMMs) excel in single-image visual question answering but face substantial difficulties when queries…

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Using LLMs to Query PubMed Knowledge Bases for BioMedical Research | by Jillian Rowe | Jul, 2024

AI for fun and profit! Photo by 🇸🇮 Janko Ferlič on UnsplashIn this article, we’ll explore how to leverage large language models (LLMs) to search and scientific papers from PubMed Open Access Subset, a free resource for accessing biomedical and life sciences literature. We’ll use Retrieval-Augmented Generation, RAG, to search our digital library. AWS Bedrock…

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