Organizations leverage generative AI for digital assistants using Retrieval Augmented Generation (RAG) over enterprise data. A serverless architecture with hybrid search enhances precision and coverage for user queries, optimizing costs and security.
PyTorch 2.0 introduced torch.compile for faster code execution. AWS optimized torch.compile for Graviton3 processors, resulting in significant performance improvements for NLP, CV, and recommendation models.
Amazon SageMaker simplifies ML model building, training, and deployment. A Python script automates identification of idle endpoints for resource optimization.
Nvidia's share price slide raises doubts about sustained growth despite key role in AI boom. Chipmaker loses $550bn in market value after briefly becoming world's most valuable company.
Using LLMs and GenAI can enhance de-duplication processes, increasing accuracy from 30% to almost 60%. This innovative method is not only beneficial for Customer data, but also for identifying duplicate records in other scenarios.
Experts warn of deepfakes in crucial election year for UK, US, and France. Voters urged to be vigilant and use common sense to detect misinformation on social media.
Yann LeCun's 1989 breakthrough with Convolutional Neural Networks preserved spatial image data, revolutionizing Computer Vision research. CNNs use filters to extract feature maps, stacking layers to create powerful image classifiers.
Wimbledon's AI-generated online service, Catch Me Up, faces challenges with accuracy in player profiles. The All England Club's push to embrace technology encounters initial hiccups during the championships.
Digital falsehood monitoring organization shutting down due to pressure. Media evolution from print to internet shaping society's information environment.
Transformers, known for revolutionizing NLP, now excel in computer vision tasks. Explore the Vision Transformer and Masked Autoencoder Vision Transformer architectures enabling this breakthrough.
Renowned Google futurist Ray Kurzweil discusses merging with computers in his new book, The Singularity Is Nearer. Predictions on AI and human intelligence becoming superhuman are becoming less far-fetched.
Train Meta’s Segment Anything Model (SAM) for high fidelity masks in any domain using open-source foundational models and fine-tuning. SAM revolutionizes AI accessibility, enabling researchers to achieve state-of-the-art results with modest resources.
Data engineering today lacks clear definition, leading to confusion. Transforming raw data into usable information is key, but requires proper implementation to avoid issues.
Voice actors fear being replaced by AI clones, as technology advances threaten their roles in commercials, audiobooks, and video games. Even high-profile actors like Scarlett Johansson are fighting to protect their voices from being used in AI products.
Article presents Nearest Centroid Classification for Numeric Data in Microsoft Visual Studio Magazine. Nearest centroid classification is easy, interpretable, but less powerful than other techniques, achieving high accuracy in predicting penguin species.