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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.
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.
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.
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.
Geoffrey Hinton and John Hopfield awarded 2024 Nobel prize for pioneering artificial neural networks inspired by the brain. Their work revolutionized AI capabilities with memory storage and learning functions mimicking human cognition.
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.
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.
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.
New AI agents excel in problem solving by reasoning and tool-driven decision making, showcasing impressive abilities beyond conversational tasks. Expressions of reasoning through evaluation and planning, as well as tool use, are key components in creating powerful AI solutions, with some models surpassing human accuracy on various benchmarks.
Enhance RAG workflow by chunking data for optimal results with GPT-4 models. Short, focused inputs yield better responses, balancing performance and efficiency.
Dozens of neo-Nazis are shifting from Telegram to SimpleX Chat, backed by Twitter founder Jack Dorsey. Extremist groups fear Telegram's privacy policies, seeking anonymity on the secretive app.
Meta, owner of Facebook, unveils Movie Gen AI model for creating realistic video and audio clips to rival competitors. Samples show animals swimming, people painting using their real photos in the clips.
Retrieval augmented generation (RAG) combines information retrieval & language generation for accurate responses. RAG techniques are diverse, tailored to specific challenges & use cases, evolving beyond a one-size-fits-all approach.