Meta's Code Llama foundation models, available on Amazon SageMaker JumpStart, offer state-of-the-art large language capabilities for generating code and natural language about code. The models come in three variants, with up to 70B parameters, designed to improve productivity for developers in various programming languages. SageMaker JumpStart provides access to a range of foundation models for...
Google upstages itself with Gemini Ultra 1.0 and now Gemini Pro 1.5, claiming better quality with less compute. Gemini 1.5 boasts longest context window of any large-scale foundation model, challenging OpenAI's GPT-4 Turbo.
MIT researchers develop antitampering ID tag using terahertz waves, offering tiny, cheap, and secure authentication for products. Metal particles in glue create unique fingerprint pattern, machine-learning model detects tampering with 99% accuracy.
Adobe Firefly, powered by NVIDIA, brings generative AI to creators. AI-enhanced Enhance Speech tool in Premiere Pro improves dialogue quality. Esteban Toro uses AI in Adobe apps to create emotionally moving Cinematic Portraits series, showcasing the power of NVIDIA RTX technology.
Amazon SageMaker MMEs allow dynamic compute allocation for models, saving costs and optimizing efficiency. DJLServing enables per-model scaling for traffic pattern agnostic MMEs.
Matrix decomposition breaks down matrices into components - QR, SVD, and LQ. LQ is a special type of QR decomposition used for solving linear equations, demonstrated in a Python program.
Mastering causal inference is crucial in today's data-driven world, with Google Trends showing a growing interest. Acquire this valuable skill with a self-study guide, applicable to all levels and professions.
Amazon SageMaker Canvas enables domain experts to create powerful analytics and ML models without coding. It helps detect abnormal data points in industrial machines, crucial for predictive maintenance and performance improvements.
Modern chatbots provide 24/7 customer service across industries, offering real-time responses in multiple languages. Integration with knowledge bases enhances personalized, contextual responses, utilizing Retrieval Augmented Generation for improved relevance and user engagement.
OpenAI unveils Sora, a groundbreaking text-to-video AI model creating photorealistic HD videos from written descriptions. Reportedly surpasses all existing models in fidelity, consistency, and has tech experts in awe.
MIT, Brigham and Women's Hospital, and Duke University researchers develop innovative strategy to identify drug transporters in the digestive tract, revealing potential drug interactions. Study in Nature Biomedical Engineering highlights the importance of understanding drug transport mechanisms for improving patient treatment and drug development.
Article highlights: Anomaly detection categories include tabular, image, and time series data. K-means clustering and neural autoencoder techniques are commonly used for tabular data. One-over-n-hot encoding offers a unique solution for categorical data in k-means clustering, improving accuracy.
An autoencoder predicts input data, flagging anomalies. Implemented in C#, it detected a liberal male from Nebraska with $53,000 income as most anomalous. Model trained with 9-6-9 architecture, revealing insights on neural network systems.
FBI and NCA dismantle cybercrime gang LockBit, targeting companies like Royal Mail and Boeing. Operation Cronos seizes hacking tools and arrests key members, disrupting group.
Learn how to create custom IPython Jupyter Magic commands to enhance your notebook experience. Use Hamilton library as an example for better development ergonomics. Explore the power of line and cell magics for dynamic notebook functionalities.