AWS Introduces UAEF for AI Agents: 36 Metrics Across 7 Dimensions
Technology News | November 12, 2026. AWS published a technical article on November 11 introducing the Universal Agent Evaluation […]
Technology News
Data Science & AI
Machine Learning Evaluation Metrics: Accuracy, Precision, Recall & F1-Score
Machine Learning Evaluation Metrics help developers understand whether a classification model makes dependable predictions. A model can show high overall […]
Technology News
Google Introduces TPU 8tx and TPU 8i Max for Agentic AI
News Update | November 11, 2026 Google TPU 8tx and TPU 8i Max are two new AI infrastructure systems […]
Data Science & AI
Hyperparameter Tuning in Machine Learning: Grid Search vs Random Search
Hyperparameter Tuning in Machine Learning helps developers improve how predictive models learn and perform on new data. After choosing an […]
Data Science & AI
Cross-Validation in Machine Learning: K-Fold vs Stratified K-Fold
Cross-Validation in Machine Learning is an important technique for checking how consistently a predictive model performs on different subsets of […]
Data Science & AI
Overfitting vs Underfitting in Machine Learning: How to Improve Model Performance
Overfitting vs Underfitting in Machine Learning is an important concept for students learning how to build accurate and reliable […]
Data Science & AI
Train-Test Split in Machine Learning: How to Avoid Data Leakage
Train-Test Split in Machine Learning is one of the first concepts beginners should understand before building predictive models. It helps […]
Events & Workshops
Multimodal RAG Workshop: Build AI Applications Beyond Text
Workshop Announcement Explore how Generative AI applications can retrieve and process information from multiple formats, including text, images, audio and […]
Technology News
OpenAI Launches GPT-6 Cyber: What Developers Should Know
Technology News | 6 November 2026 | NareshIT JNTU Artificial intelligence is moving beyond writing code and answering programming questions. […]
Data Science & AI, Uncategorized
Feature Scaling in Machine Learning: Standardization vs Normalization
Feature Scaling in Machine Learning is an important preprocessing technique that helps algorithms work with numerical variables measured on […]