Generative AI digital assistant on AWS streamlines banking customer onboarding, automating paperwork, identity verification, and providing instant customer engagement. Challenges like manual processes, security risks, and limited accessibility addressed through innovative solution, enhancing customer experience and efficiency.
Implementing logistic regression using JavaScript to predict sex based on age, state, income, and political leaning. Training with batch gradient descent yields a model with 75% accuracy on test data.
Prompt caching is a game-changer for reducing computational overhead and latency in attention-based models like GPT. Google, Anthropic, and OpenAI are leading the way with innovative caching techniques for long prompts, improving efficiency and reducing costs significantly.
Researchers from MIT, CMU, and Lehigh collaborate on DARPA-funded METALS program to optimize multi-material structures for aerospace applications, including rocket engines. Project merges classical mechanics with AI design tech for compositionally graded alloys, enabling leap-ahead performance in structural components.
Pre-training large language models (LLMs) with torchtitan library accelerates Meta Llama 3-like models, showcasing FSDP2 and FP8 support. Amazon SageMaker Model Training reduces time and cost, offering high-performing ML compute infrastructure.
Blake Montgomery takes over as the new writer of TechScape, discussing a middle school's tech ban and opting out of AI training. Stay updated with the latest tech news by signing up for the newsletter.
Learn how to run Rust code in the browser using WebAssembly, providing dynamic web pages with privacy benefits. Follow nine rules for porting code to WASM in the browser, ensuring successful implementation and integration.
Time series forecasting is crucial for predicting future values, but faces challenges like seasonality and manual tuning. Amazon SageMaker AutoMLV2 simplifies the process with automation, from data preparation to model deployment.
Transitioning from software engineer to machine learning engineer at FAANG companies involves 7 key steps, including finding motivation, exploring ML basics, networking, and finding your niche within the ML landscape. Understanding your interests and leveraging your current skills strategically are essential for a successful transition.
NVIDIA's accelerated computing is driving energy-efficient AI innovations, reducing energy consumption significantly while powering over 4,000 applications. Agentic AI is transforming industries by automating complex tasks and accelerating innovation, with NVIDIA collaborating on groundbreaking projects like real-time AI searches for fast radio bursts.
Nearest Neighbor Regressor simplifies predicting continuous values using KD Trees and Ball Trees efficiently. A visual guide with code examples for beginners, focusing on construction and computation.
AI chatbots can steer people away from conspiracy beliefs, according to Thomas Costello's study. The power of artificial intelligence to promote truth is explored in this intriguing research.
Solving LinkedIn Queens game using backtracking & linear equations for quick solutions in less than 0.1 seconds. Linear equations provide a faster alternative to backtracking for solving the game's constraints.
FormulaFeatures is a tool for creating interpretable models by automatically engineering concise, highly predictive features. It aims to improve the accuracy and interpretability of models like decision trees, enhancing visibility into predictions.
Enhance RAG workflow by chunking data for optimal results with GPT-4 models. Short, focused inputs yield better responses, balancing performance and efficiency.