Article highlights: 'Matrix Inverse from Scratch Using SVD Decomposition with C# in Microsoft Visual Studio Magazine. Importance in machine learning, SVD algorithm implementation in C# for matrix inverse.'
ChatGPT users report bizarre outputs, likening AI assistant to "having a stroke" and "going insane." OpenAI addresses issue, highlighting human tendency to anthropomorphize malfunctioning large language models.
Actionable steps to grow an organization's analytical maturity: Shut up and listen. User interviews, surveys, team meetings, and job shadowing provide valuable insights for improvement.
Google introduces Gemma, new open-source AI language models, with 2B and 7B parameters. Gemma models can run locally and are inspired by powerful Gemini models.
Amazon SageMaker MMEs allow dynamic compute allocation for models, saving costs and optimizing efficiency. DJLServing enables per-model scaling for traffic pattern agnostic MMEs.
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.
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.
Will Smith parodies AI spaghetti video, showcasing OpenAI's Sora model's advancement. Instagram fans debate if Smith's comical video is AI-generated or not.
Telecoms embrace generative AI, surpassing 5G milestones. Survey shows AI adoption booming, with focus on customer experience and revenue growth.
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.
Reddit signs $60 million AI training deal ahead of IPO, setting new precedent for tech firms. OpenAI also in talks with major publishers for AI model training.
Learn how to solve binary classification problems using Bayesian methods in Python, focusing on building a Bayesian logistic regression model using Pyro. Utilizing the heart failure prediction dataset from Kaggle, the article covers EDA, feature engineering, model building, and evaluation, highlighting the presence of outliers in the data and the use of standardization scaling for continuous nu...
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.
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.
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...