Adding evaluation, automated data pulling, and other improvements. From Film Search to Rosebud 🌹. Image from Unsplash.Table of Contents Introduction Offline Evaluation Online Evaluation Automated Data Pulling with Prefect Summary Relevant Links A few months ago, I released the Film Search app, a Retrieval-Augmented Generation (RAG) application designed to recommend films based on user queries.…
On April 2, the World Health Organization launched a chatbot named SARAH to raise health awareness about things like how to eat well, quit smoking, and more. But like any other chatbot, SARAH started giving incorrect answers. Leading to a lot of internet trolls and finally, the usual disclaimer: The answers from the chatbot might…
Industries like aviation engineering, pharmaceutics and automotive manufacturing are beginning to rely on artificial intelligence for metrological instrument calibration, valuing it for its unparalleled accuracy and efficiency. How will this technology reshape conventional practices?
AI’s Role in Metrological Instrument Calibration
It shouldn’t be surprising that AI has applications in metrology — the science of…
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Let’s learn how to perform operation in Pandas with Large datasets.
Preparation
As we are talking about the Pandas package, you should have one installed. Additionally, we would use the Numpy package as well. So, install them both.
Then, let’s get into the central part of…
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…