What’s the first thing you do once your salary is credited into your bank account? (Apart from spending it, of course...) I immediately rush to review my payslip to understand the earnings and deductions in detail. In this article, we will understand this document that has become an integral part of our monthly work ritual. …
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.…
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,…
Managing data models at scale is a common challenge for data teams using dbt (data build tool). Initially, teams often start with simple models that are easy to manage and deploy. However, as the volume of data grows and business needs evolve, the complexity of these models increases. This progression often leads to a monolithic…
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…
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…
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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As the world of data grows, so does the world of data science. To keep up with the data science world is a full-time job in itself. The market is ever-growing and tools are developing and dropping into the market causing chaos. And then you have the problem of learning these…
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…
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…