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Productionizing a RAG App. Adding evaluation, automated data… | by Ed Izaguirre | Aug, 2024

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.…

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Redefining Accuracy in Metrological Instruments

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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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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